Zoho is developing a new ‘programmer productivity’ product designed to generate accurate codes, and aims to surpass other platforms’ issues with hallucinations and factual errors

Zoho’s Bid to Rival GitHub Copilot

Meta CEO Mark Zuckerberg took a big risk by making its powerful AI model Llama 2 mostly open source, according to Replit CEO Amjad Masad.

Meta made its Llama 2 AI model open-source because 'Zuck has balls,' a former top Facebook engineer says

Florida has been playing fast and loose with COVID data for years, stonewalling on public records requests and shifting the way it counts cases. Now, finally, Floridians will have a chance to see ...

Florida finally has to reveal COVID data it wanted to hide. Too bad it took a lawsuit | Opinion

Replit is directly integrating GhostWriter into its core platform and making the generative AI code completion tool available to all of its users.

Replit brings open source AI developer tools to all users

Function calling is a powerful new feature of large language models (LLMs) that allows them to interact with the real world in new and exciting ways. By calling external functions, LLMs can access data from databases, perform complex calculations, and ...

4 Best LLM For Function Calling

Goldman, which boosted its price target on Nvidia to $605 per share in August, added the AI market leader to its flagship list of stock recommendations Monday. The UAW now has around 25,000 ...

Replimune Group Inc.

If you’ve got 👀 on this blog (directly, or via syndication) you’d have to have been living under a rock to not know about the libwebp supply chain disaster. An unfortunate casualty of inept programming just happened to be any app in the Electron ecosystem that doesn’t undergo bleeding-edge updates.

Avoid libwebp Electron Woes On macOS With positron

The incredible generative capabilities of Large Language Models (LLMs) have ushered in a new era of automation in coding tasks. Applications like Amazon Code Whisperer, GitHub Copilot, and Replit have become ubiquitous,

Microsoft’s CodePlan: Unleashing the Power of Language Models for Repository-Level Coding Tasks

Replit

replit

Did you know that coding tools have evolved so rapidly that they’re now shaping the future of programming itself? As technology advances, platforms like Replit are leading the charge, making coding more accessible and collaborative than ever before. In this article, I’ll show you what Replit is and how to use it. What is Replit? Replit is an AI-powered software development and deployment platform that provides a versatile and collaborative environment for coding. Founded in 2016 by programmers Amjad Masad, Faris Masad, and designer Haya Odeh, this online IDE has grown to serve over 30 million software creators worldwide. It serves as an online integrated development environment (IDE) that supports over 50 programming languages and has powerful AI-driven features like Replit Agent. Replit is designed to simplify the software development process. Key Features of Replit Integrated Development Environment (IDE): Replit offers a cloud-based IDE that supports over 50 programming languages. It allows users to create, run, and deploy applications without needing to set up local environments, similar to Project IDX from Google.
Collaboration: The platform facilitates real-time collaboration, enabling multiple users to work on the same project simultaneously. This is particularly useful for team projects, pair programming, and educational purposes.
Replit AI: An integrated AI tool assists with various coding tasks such as debugging, code completion, and generating code from natural language inputs.
Deployment: Replit simplifies the deployment process, allowing users to build, test, and deploy applications directly from the browser. This includes support for hosting applications on custom domains and managing cloud services.
Version Control: Built-in version control using Git allows users to manage their code changes effectively. Users can pull code from GitHub repositories and link their projects for seamless integration.
Community and Educational Resources: Replit provides a platform for learning and community engagement, offering resources for teaching and learning programming languages.
Accessibility: As a cloud-based platform, Replit can be accessed from anywhere with an internet connection, making it convenient for developers to work on their projects from different devices. The platform’s versatility makes it attractive for a wide range of projects, from simple scripts to complex web applications. All are accessible through a web browser without the need for local software installation. Getting Started with Replit First, visit the official website https://replit.com/ and create an account there. You can use Google. GitHub, or your email. How Much is Replit Costs The “Starter” plan is free, but it’s very limited. If you want to try Replit’s full functionality, I recommend the “Replit Core” plan. It will cost you 25 USD/month for a monthly subscription or 120 USD/year (~10 USD/month) for a yearly one. Think carefully about the option you select because no refund is available. How to Create First Project in Replit After creating an account and selecting the plan, you will be redirected to the main dashboard, where you can start work with Replit. Remember that projects/repositories inside Replit are called “Repl”. You can import an existing project from GitHub or create a new one. Both options are available on the main dashboard. In this tutorial, we create a Repl from scratch. To do that, click on the “Create Repl” button. Please remember that the free account doesn’t give you access to Replit Agent, so you must start by choosing a template for your project. Choose the technology you want to use. I’ll choose Next.JS
Choose privacy mode. If you’re going to make it public, select “Public.”
And give it a name How to Run a Project in Replit It will take a couple of seconds for Replit to create all the necessary files. Once it is finished, you can run the project by clicking the “Run” button. Similar to other IDEs your files will be at the left sidebar and your code in the center. Preview will be available in the sidebar, or you can open it in a separate tab by clicking this icon. There are a lot of things available for you in your IDE mode. By clicking the “+” icon, you can open a new tab with the selected function from the list. I recommend you try Replit AI. You can ask different questions about your application, and the AI will show you step-by-step instructions on how to add these changes. Once you are happy with the result, you can deploy your app by clicking the “Deploy” button. Then select a type of deployment and click deploy. Depending on your application, it could take more than 10 minutes. Once the deployment is finished, you will see the success screen and application URL. You can set up a custom domain of your application under the settings. How to Use Replit Agent What is Replit Agent The Replit Agent is an AI-powered tool designed to assist users in building software projects. It interprets natural language prompts to help create applications from scratch, making software development more accessible to users of all skill levels. The Replit Agent acts as a pair programmer, configuring development environments, installing dependencies, and executing code. How to Start First, register on the Replit website if you haven’t done so yet. Then, on the homepage, you will see the Replit Agent input box. All you need to do is write your prompt in natural language. For instance, “I want to input a stock symbol and get a summary of financial data. Give me a table and a chart tracking the stock price and other key financial information. Use data from Yahoo finance. Let me download the table data as a CSV.” And click “Start building” button. The Agent will summarize what it will build and suggest additional functionality that you can select for your application. Once you are done, click “Approve plan & start.” After a few minutes, your application will be ready! Awesome right?! :) You can use natural language to add functions or adjust them. All you need to do is describe your adjustment in the chat window and submit it to the Agent. After you finish, you can deploy your application the same way as we did earlier. As you can see, Replit is so simple and easy to use. I recommend watching my in-depth video with essential tips about Replit and its features. Video Tutorial About Replit https://youtu.be/KMcOKfq2IDM?si=dwKnxFj_kPnTIEfa&embedable=true Conclusion I believe Replit is an exciting tool that will undoubtedly transform the way we code. It also enables individuals without extensive programming knowledge to create their first application without investing hundreds of hours writing code. If you like this tutorial, please follow me on YouTube, join my Telegram, or support me on Patreon. Thanks! :) Did you know that coding tools have evolved so rapidly that they’re now shaping the future of programming itself? As technology advances, platforms like Replit are leading the charge, making coding more accessible and collaborative than ever before. In this article, I’ll show you what Replit is and how to use it. What is Replit? Replit is an AI-powered software development and deployment platform that provides a versatile and collaborative environment for coding. Founded in 2016 by programmers Amjad Masad, Faris Masad, and designer Haya Odeh, this online IDE has grown to serve over 30 million software creators worldwide. It serves as an online integrated development environment (IDE) that supports over 50 programming languages and has powerful AI-driven features like Replit Agent. Replit is designed to simplify the software development process. Key Features of Replit Integrated Development Environment (IDE): Replit offers a cloud-based IDE that supports over 50 programming languages. It allows users to create, run, and deploy applications without needing to set up local environments, similar to Project IDX from Google. Collaboration: The platform facilitates real-time collaboration, enabling multiple users to work on the same project simultaneously. This is particularly useful for team projects, pair programming, and educational purposes. Replit AI: An integrated AI tool assists with various coding tasks such as debugging, code completion, and generating code from natural language inputs. Deployment: Replit simplifies the deployment process, allowing users to build, test, and deploy applications directly from the browser. This includes support for hosting applications on custom domains and managing cloud services. Version Control: Built-in version control using Git allows users to manage their code changes effectively. Users can pull code from GitHub repositories and link their projects for seamless integration. Community and Educational Resources: Replit provides a platform for learning and community engagement, offering resources for teaching and learning programming languages. Accessibility: As a cloud-based platform, Replit can be accessed from anywhere with an internet connection, making it convenient for developers to work on their projects from different devices. Integrated Development Environment (IDE): Replit offers a cloud-based IDE that supports over 50 programming languages. It allows users to create, run, and deploy applications without needing to set up local environments, similar to Project IDX from Google . Integrated Development Environment (IDE): Project IDX from Google Project IDX from Google Collaboration: The platform facilitates real-time collaboration, enabling multiple users to work on the same project simultaneously. This is particularly useful for team projects, pair programming, and educational purposes. Collaboration: Replit AI: An integrated AI tool assists with various coding tasks such as debugging, code completion, and generating code from natural language inputs. Replit AI: Deployment: Replit simplifies the deployment process, allowing users to build, test, and deploy applications directly from the browser. This includes support for hosting applications on custom domains and managing cloud services. Deployment: Version Control: Built-in version control using Git allows users to manage their code changes effectively. Users can pull code from GitHub repositories and link their projects for seamless integration. Version Control: Community and Educational Resources: Replit provides a platform for learning and community engagement, offering resources for teaching and learning programming languages. Community and Educational Resources: Accessibility: As a cloud-based platform, Replit can be accessed from anywhere with an internet connection, making it convenient for developers to work on their projects from different devices. Accessibility: The platform’s versatility makes it attractive for a wide range of projects, from simple scripts to complex web applications. All are accessible through a web browser without the need for local software installation. Getting Started with Replit First, visit the official website https://replit.com/ and create an account there. You can use Google. GitHub, or your email. https://replit.com/ https://replit.com/ How Much is Replit Costs The “Starter” plan is free, but it’s very limited. If you want to try Replit’s full functionality, I recommend the “Replit Core” plan. It will cost you 25 USD/mont h for a monthly subscription or 120 USD/year (~10 USD/month) for a yearly one. 25 USD/mont 120 USD/year (~10 USD/month) Think carefully about the option you select because no refund is available. How to Create First Project in Replit After creating an account and selecting the plan, you will be redirected to the main dashboard, where you can start work with Replit. Remember that projects/repositories inside Replit are called “ Repl ”. Repl You can import an existing project from GitHub or create a new one. Both options are available on the main dashboard. In this tutorial, we create a Repl from scratch. To do that, click on the “Create Repl” button. Please remember that the free account doesn’t give you access to Replit Agent, so you must start by choosing a template for your project. Choose the technology you want to use. I’ll choose Next.JS Choose privacy mode. If you’re going to make it public, select “Public.” And give it a name Choose the technology you want to use. I’ll choose Next.JS Choose privacy mode. If you’re going to make it public, select “Public.” And give it a name How to Run a Project in Replit It will take a couple of seconds for Replit to create all the necessary files. Once it is finished, you can run the project by clicking the “Run” button. Similar to other IDEs your files will be at the left sidebar and your code in the center. Preview will be available in the sidebar, or you can open it in a separate tab by clicking this icon. There are a lot of things available for you in your IDE mode. By clicking the “+” icon, you can open a new tab with the selected function from the list. I recommend you try Replit AI. You can ask different questions about your application, and the AI will show you step-by-step instructions on how to add these changes. Once you are happy with the result, you can deploy your app by clicking the “Deploy” button. Then select a type of deployment and click deploy. Depending on your application, it could take more than 10 minutes. Once the deployment is finished, you will see the success screen and application URL. You can set up a custom domain of your application under the settings. How to Use Replit Agent What is Replit Agent The Replit Agent is an AI-powered tool designed to assist users in building software projects. It interprets natural language prompts to help create applications from scratch, making software development more accessible to users of all skill levels. The Replit Agent acts as a pair programmer, configuring development environments, installing dependencies, and executing code. How to Start First, register on the Replit website if you haven’t done so yet. Then, on the homepage, you will see the Replit Agent input box. All you need to do is write your prompt in natural language. For instance , “I want to input a stock symbol and get a summary of financial data. Give me a table and a chart tracking the stock price and other key financial information. Use data from Yahoo finance. Let me download the table data as a CSV.” For instance And click “Start building” button. The Agent will summarize what it will build and suggest additional functionality that you can select for your application. Once you are done, click “Approve plan & start.” After a few minutes, your application will be ready! Awesome right?! :) You can use natural language to add functions or adjust them. All you need to do is describe your adjustment in the chat window and submit it to the Agent. After you finish, you can deploy your application the same way as we did earlier. As you can see, Replit is so simple and easy to use. I recommend watching my in-depth video with essential tips about Replit and its features. Video Tutorial About Replit https://youtu.be/KMcOKfq2IDM?si=dwKnxFj_kPnTIEfa&embedable=true https://youtu.be/KMcOKfq2IDM?si=dwKnxFj_kPnTIEfa&embedable=true Conclusion I believe Replit is an exciting tool that will undoubtedly transform the way we code. It also enables individuals without extensive programming knowledge to create their first application without investing hundreds of hours writing code. If you like this tutorial, please follow me on YouTube , join my Telegram , or support me on Patreon . YouTube YouTube Telegram Telegram Patreon Patreon Thanks! :)

Discover Replit: Your Ultimate Guide to Coding with AI Agents

This post is a prerequisite for an upcoming post. Here I’ll be creating a Whatsapp echo bot using Twilio and Nodejs. I’ll be making use of so as to save myself from the burden of going through the environmental setup. Repl.it Now, let’s get started 🏃‍ 🔑 Accounts and Keys First, Sign up for Twilio Once you’re done verifying your phone number, select Products > Programmable SMS and then continue to name your project. Feel free to skip steps for adding teammates — you won’t need that for now. You must now take note of some authentication keys you’ll need for building the WhatsApp bot 👇 The final step — setup your WhatsApp Sandbox — choose any number, and join your sandbox following instructions on the page. 👇 here Aaaaaand you’re done with credential setup! Don’t worry, that was the toughest part of this tutorial 😛 🚀 Getting Started So that we don’t spend too much time on setup, we’ll be using ! you can use within your browser. Head over , and click on new Repl 👇 Repl.it here Select express from the language dropdown and name your Repl appropriately (or not !!). After creating it you’ll be automatically redirected to the console. Replace the code in index.js with the following code 👇 Now start the server. You’ll get an error — Error: Cannot find module ‘twilio’ To resolve this you’ll need to add twilio module in Repl.it from packages menu on the left menu bar. Search for package there and add it. Hit Restart. An interactive browser window will open up and show default route message. Let’s go back to the , and put in a webhook URL for incoming messages. WhatsApp Sandbox We’ll be using route to receive messages sent to the bot, so we will be redirecting them to the above-shown URL (Your’s will be different, obviously !!) /incoming Add to the browser URL and save that into sandbox redirect URL. /incoming After saving the configuration in the Twilio Sandbox, you’ll need to add your phone number to sandbox participants by sending the code to the mentioned number. 👇 After adding participants try sending any message from your number to the Sandbox number and observe the Repl.it consoles log. 👇 🛠️Replying to incoming messages To create an echo bot we’ll need to send back the incoming messages. For that purpose, we’ll need to use twiml. Add the following code in /incoming route handler. const twiml = new MessagingResponse(); twiml.message(req.body.Body); res.writeHead(200, {‘Content-Type’: ‘text/xml’}); res.end(twiml.toString()); Index.js at this point will look like this. 👇 Hit Restart then and send the message again to the sandbox number. Now you’ll be able to receive the same message back from the bot. ⚡ What’s next? There you have your WhatsApp echo bot. In case you get stuck you are free to use my . Just replace Account Sid and Authentication Token with your own. Repl.it Needless to say, it can be modified to create whatever you wish to do. Ranging from notification services to Wikipedia bots. One particular scenario I’ll be sharing in a few days so do stick around.

Creating a WhatsApp bot Using NodeJs, Repl.it and Twilio API

is changing the game for Dev Tools! GPT-3 AI can now do so much without the need for tons of programming knowledge. These models are extremely smart and can analyze huge amounts of data, learn and adapt, and even make decisions. It's crazy to think about all the ways they can make tech better. We're entering a new era where people and machines can work together in amazing ways. Number of Parameters of GPT-3 compared to previous models. ( , , ) Edited by WillStats Original 1 Original 2 1. AI2SQL It's time to tackle some database development. I mean, who doesn't love staring at rows and columns all day? is a platform that allows users to build custom machine learning models and deploy them to an SQL database. AI2SQL With AI2SQL, users can easily build models using a variety of pre-built components, and then deploy them to a SQL database, making it easy to incorporate machine learning into existing applications and systems. One of the standout features of AI2SQL is its user-friendly interface. Whether you are a machine-learning beginner or an experienced data scientist, AI2SQL is a powerful and easy-to-use platform that can help you build and deploy custom machine-learning models quickly and easily without the need for outstanding expertise in the matter. 2. Tabnine And what about prediction? Code, of course! Tabnine is an AI code completion tool that helps developers write code faster and more accurately. It predicts what code developers will write next based on the context of their current code, saving time and effort. It also suggests function names and parameters and finds and fixes syntax errors. can be run on a developer's laptop, on a server inside a firewall, or in the cloud. It's a great tool for any project out there. Tabnine Tabnine Predicts and Suggests Your Next Lines of Code Based on Context & Syntax. Whole line code completions Full-function code completions Natural language to code Improved code quality & consistency Tabnine suggests code completions that align with your coding patterns. Cohesive, consistent code completions Reduced cost for code review iterations Stay in the editor (and the flow) 3. MarsX MarsX is only one low-code platform in our list because it’s the first platform that allows users to create websites or apps using a chat interface of GPT. MarsX allows users to build custom software applications without the need for traditional coding. One of the key features of MarsX is its AI-driven solution, which allows users to create websites or apps using a chat interface. Users can use common English instead of tags and have AI build their projects. This is a useful tool for non-technical users who don't want to deal with the complexities of coding, and it can be helpful for developers who want to speed up the development process by writing prompts rather than code. In addition to its AI-driven solution, MarsX also offers a number of other features and tools to help users build custom software applications, including support for a variety of programming languages and the ability to deploy applications to the cloud. No Vendor Lock can be run on servers, on local machines, or on closed networks. It is completely open-sourced and can be deployed on Windows, Linux, or any other server technology. Mars Own IDE (Made On Itself) The Mars Code interface allows users to enter a full-scale coding IDE to create something completely custom. Opensource Mars engine is free and open-sourced on GitHub, it runs under . https://www.apache.org/licenses/LICENSE-2.0 4. Mutable Text generation and soon… test generation. Yeah, it’s possible in Mutable. is another platform making it easier for users to build and deploy custom machine-learning models without much expertise. Mutable With its user-friendly interface and visual drag-and-drop interface, users can build custom models using pre-built components in a fraction of the time. In addition to building models, Mutable also offers tools and features to help users deploy their models to the cloud, making it easier for users to put their models into production. Whether you are a machine-learning beginner or an experienced data scientist, Mutable is a powerful and adaptive platform that can help you build and deploy custom machine-learning models. 5. Stenography Stenography.dev is a one-of-a-kind tool that allows users to create interactive documentation for their software projects. Users can create documents that include text, code blocks, and interactive elements such as code editors, input fields, and buttons. One of the standout features of Stenography.dev is its ability to automatically update documentation as code changes. This ensures that the documentation always reflects the current state of the project, making it easier for users to understand how the project works and how to use it. is especially useful for developers working on open-source projects, as it allows them to create and share comprehensive documentation that is easy to follow and understand. Stenography.dev It is also a valuable tool for developers working on internal projects, as it helps them create clear and concise documentation that is easy to maintain and update as the project evolves. 6. Ghostwriter Ghostwriter is a collaboration tool developed by Replit that allows developers to work together on code in real-time. It is designed to make it easy for developers to collaborate on projects, regardless of their location or device. It’s Your New Programmer Buddy. Save time and get unstuck. Tell Ghostwriter what you’re thinking, and it will generate and transform code to help you get there. With its real-time collaboration capabilities, developers can edit the same codebase simultaneously, saving time and increasing efficiency. Write Test Cases With Ease Complete Code's suggestions help you write code faster. Create a New Express Server Generate Code makes boilerplate and repetitive code a thing of the past. Refactor a React Component Transform Code helps you write code that adheres to modern web standards and patterns. also offers additional features such as real-time chat and the ability to see other users' cursor positions and highlighted code blocks, making it easier for developers to collaborate effectively. Ghostwriter Whether you are part of a team in the same office or working remotely, Ghostwriter is a powerful tool that can help you get your projects done more efficiently. 7. Copilot There’s no need to introduce GitHub Co-Pilot. A unique tool that allows developers to collaborate on code in real-time, no matter where they are located. Trained on billions of lines of code, this tool turns natural language prompts into coding suggestions across dozens of languages. Focus on solving bigger problems Users can save time on boilerplate and repetitive code patterns and focus on building great software. Simply write a comment describing the desired logic, and GitHub Copilot will suggest code to implement the solution. Get AI-based suggestions GitHub Copilot shares recommendations based on the project's context and style conventions. Quickly cycle through lines of code, complete function suggestions, and decide which to accept, reject, or edit. Keep flying with your favorite editor GitHub Copilot integrates directly into editors including Neovim, JetBrains IDEs, Visual Studio, and Visual Studio Code—and is fast enough to use as you type. With its real-time collaboration capabilities, developers can work on the same codebase simultaneously, saving time and increasing efficiency. Conclusion Ready to say goodbye to tedious coding and hello to AI-powered coding tools? These bad boys are changing the game, making it easier than ever for developers to write code using natural language and chat-based interfaces. No more struggling – now you can just chat with your code! And with the ability to update documentation automatically, you'll never have to worry about outdated docs again. So grab an AI and start revolutionizing your coding process! We are on a mission to learn more about exciting projects combining the latest technology with AI. We've compiled a list of all the most innovative projects in one place so you don't have to. Visit to see them all! https://www.marsx.dev/ai-startups Also published here Photo by Gertrūda Valasevičiūtė on Unsplash

The Best 7 Coding Tools Powered by AI 

Blockchain Bridges Gaps Where Traditional Finance Fails, Says Stellar Development Foundation

Blockchain ukax kawkhantix qullqichasiw tradicional ukax jan walt’ayaski uka chiqanakanw ch’amanchasi, Fundación Stellar Development ukax siwa

Blockchain преодолява пропуските там, където традиционното финансиране се проваля, казва Stellar Development Foundation

Stellar Development Foundation: Blockchain schließt Lücken, wo traditionelle Finanzsysteme versagen

La tecnología blockchain cierra brechas donde las finanzas tradicionales fallan, afirma Stellar Development Foundation

ステラ開発財団によると、ブロックチェーンは従来の金融がうまく機能しない部分を補う

ბლოკჩეინი ახიდებს ხარვეზებს, სადაც ტრადიციული ფინანსები ვერ ხერხდება, ამბობს Stellar Development Foundation

Blockchain Салттуу Каржы ийгиликсиз болгон жерде боштуктарды толтурат, дейт Stellar Development Foundation

ብሎክቸይን ባህላዊ ፋይናንስ ኣብ ዝፈሽለሉ ክፍተታት ይድልድል ይብል ስቴላር ዲቨሎፕመንት ፋውንዴሽን

“Stellar” gaznasynyň aýtmagyna görä, adaty maliýe şowsuz bolan “Blockchain” köprüleri

Blockchain Yi Bula Swivandla Laha Timali ta Ndhavuko ti Hlulekaka, Ku vula Stellar Development Foundation

Блокчейн усуває прогалини там, де традиційне фінансування зазнає невдачі, каже Stellar Development Foundation

恒星发展基金会称区块链弥补了传统金融的不足

Table of Links Abstract and 1. Introduction 2 The Original GPT4All Model 2.1 Data Collection and Curation 2.2 Model Training, 2.3 Model Access and 2.4 Model Evaluation 3 From a Model to an Ecosystem 3.1 GPT4All-J: Repository Growth and the implications of the LLaMA License 3.2 GPT4All-Snoozy: the Emergence of the GPT4All Ecosystem 3.3 The Current State of GPT4All 4 The Future of GPT4All Limitations and References 3.3 The Current State of GPT4All Today, GPT4All is focused on improving the accessibility of open source language models. The repository provides compressed versions of open source models for use on commodity hardware, stable and simple high level model APIs, and a GUI for no code model experimentation. The project continues to increase in popularity, and as of August 1 2023, has garnered over 50000 GitHub stars and over 5000 forks. GPT4All currently provides native support and benchmark data for over 35 models (see Figure 1), and includes several models co-developed with industry partners such as Replit and Hugging Face. GPT4All also provides high level model APIs in languages including Python, Typescript, Go, C#, and Java, among others. Furthermore, the GPT4All no code GUI currently supports the workflows of over 50000 monthly active users, with over 25% of users coming back to the tool every day of the week. (Note that all GPT4All user data is collected on an opt in basis.) GPT4All has become the top language model integration in the popular open source AI orchestration library LangChain (Chase, 2022), and powers many popular open source projects such as PrivateGPT (imartinez, 2023), Quiver (StanGirard, 2023), and MindsDB (MindsDB, 2023), among others. GPT4All is the 3rd fastest growing GitHub repository of all time (Leo, 2023), and is the 185th most popular repository on the platform, by star count. This paper is available on arxiv under CC BY 4.0 DEED license. Authors:
(1) Yuvanesh Anand, Nomic AI, yuvanesh@nomic.ai;
(2) Zach Nussbaum, Nomic AI, zach@nomic.ai;
(3) Adam Treat, Nomic AI, adam@nomic.ai;
(4) Aaron Miller, Nomic AI, aaron@nomic.ai;
(5) Richard Guo, Nomic AI, richard@nomic.ai;
(6) Ben Schmidt, Nomic AI, ben@nomic.ai;
(7) GPT4All Community, Planet Earth;
(8) Brandon Duderstadt, Nomic AI, brandon@nomic.ai with Shared Senior Authorship;
(9) Andriy Mulyar, Nomic AI, andriy@nomic.ai with Shared Senior Authorship. Table of Links Abstract and 1. Introduction Abstract and 1. Introduction 2 The Original GPT4All Model 2 The Original GPT4All Model 2.1 Data Collection and Curation 2.2 Model Training, 2.3 Model Access and 2.4 Model Evaluation 2.2 Model Training, 2.3 Model Access and 2.4 Model Evaluation 3 From a Model to an Ecosystem 3.1 GPT4All-J: Repository Growth and the implications of the LLaMA License 3.1 GPT4All-J: Repository Growth and the implications of the LLaMA License 3.2 GPT4All-Snoozy: the Emergence of the GPT4All Ecosystem 3.2 GPT4All-Snoozy: the Emergence of the GPT4All Ecosystem 3.3 The Current State of GPT4All 3.3 The Current State of GPT4All 4 The Future of GPT4All 4 The Future of GPT4All Limitations and References Limitations and References 3.3 The Current State of GPT4All Today, GPT4All is focused on improving the accessibility of open source language models. The repository provides compressed versions of open source models for use on commodity hardware, stable and simple high level model APIs, and a GUI for no code model experimentation. The project continues to increase in popularity, and as of August 1 2023, has garnered over 50000 GitHub stars and over 5000 forks. GPT4All currently provides native support and benchmark data for over 35 models (see Figure 1), and includes several models co-developed with industry partners such as Replit and Hugging Face. GPT4All also provides high level model APIs in languages including Python, Typescript, Go, C#, and Java, among others. Furthermore, the GPT4All no code GUI currently supports the workflows of over 50000 monthly active users, with over 25% of users coming back to the tool every day of the week. (Note that all GPT4All user data is collected on an opt in basis.) GPT4All has become the top language model integration in the popular open source AI orchestration library LangChain (Chase, 2022), and powers many popular open source projects such as PrivateGPT (imartinez, 2023), Quiver (StanGirard, 2023), and MindsDB (MindsDB, 2023), among others. GPT4All is the 3rd fastest growing GitHub repository of all time (Leo, 2023), and is the 185th most popular repository on the platform, by star count. This paper is available on arxiv under CC BY 4.0 DEED license. This paper is available on arxiv under CC BY 4.0 DEED license. available on arxiv Authors: (1) Yuvanesh Anand, Nomic AI, yuvanesh@nomic.ai; (2) Zach Nussbaum, Nomic AI, zach@nomic.ai; (3) Adam Treat, Nomic AI, adam@nomic.ai; (4) Aaron Miller, Nomic AI, aaron@nomic.ai; (5) Richard Guo, Nomic AI, richard@nomic.ai; (6) Ben Schmidt, Nomic AI, ben@nomic.ai; (7) GPT4All Community, Planet Earth; (8) Brandon Duderstadt, Nomic AI, brandon@nomic.ai with Shared Senior Authorship; (9) Andriy Mulyar, Nomic AI, andriy@nomic.ai with Shared Senior Authorship. Authors: Authors: (1) Yuvanesh Anand, Nomic AI, yuvanesh@nomic.ai; (2) Zach Nussbaum, Nomic AI, zach@nomic.ai; (3) Adam Treat, Nomic AI, adam@nomic.ai; (4) Aaron Miller, Nomic AI, aaron@nomic.ai; (5) Richard Guo, Nomic AI, richard@nomic.ai; (6) Ben Schmidt, Nomic AI, ben@nomic.ai; (7) GPT4All Community, Planet Earth; (8) Brandon Duderstadt, Nomic AI, brandon@nomic.ai with Shared Senior Authorship; (9) Andriy Mulyar, Nomic AI, andriy@nomic.ai with Shared Senior Authorship.

The Current State of GPT4All

Hello JavaScript Enthusiasts! Welcome to this week’s edition of “This Week In JavaScript”! Today, we’re diving into TypeScript’s latest release candidate, a thought-provoking discussion about the future of frameworks in the AI era, and some must-know tools to boost your dev game. Let’s jump right in! Typescript 5.7 RC Lands You can now install TypeScript 5.7 Release Candidate with: npm install -D typescript@rc Here’s what’s new: Smarter Bug Detection: New checks catch never-initialized variables, even in deeply nested functions. No-Build Convenience: For ts-node and Deno users, the --rewriteRelativeImportExtensions option automatically converts .ts imports to .js, allowing developers to run TypeScript code seamlessly across multiple environments like Node.js and Deno. ECMAScript 2024: Full support for Object.groupBy and Promise.withResolvers, helping you leverage the latest ECMAScript features. The Vlt Package Manager and Serverless Registry Isaac Schlueter, the creator of npm, is back with something new—vlt and the Serverless Registry (vsr). vlt Package Manager: A faster, sleeker alternative to npm with features like improved performance and dependency query syntax. Serverless Registry: Compatible with npm, this scalable, private registry gives you full control over your package distribution. These tools could significantly streamline how developers manage JavaScript packages by offering faster performance and more control over private package distribution. Component Party If you’re a front-end dev working across multiple frameworks, Component Party is your new best friend. It’s a tool that compares how common tasks are performed across different libraries like React, Vue, Svelte, and Angular. With its latest additions—support for Svelte 5 and Angular 17—it’s more up-to-date than ever. It offers a side-by-side comparison of how common tasks—like rendering a component or managing state—are handled across libraries like React, Vue, and Svelte. This makes it easier to learn or switch frameworks without wasting time hunting through documentation. The AI Framework Debate With tools like Replit, Cursor, v0 and more that generate functional code almost instantly, a new debate is brewing: Will frameworks still matter in the future? Speed vs. Structure: AI-generated code might reduce the reliance on traditional frameworks for certain projects, but frameworks will likely remain essential for larger, complex applications. The real question is how frameworks will evolve alongside these AI tools. Future Impact: As AI advances, we might see a shift in how software is built—frameworks could evolve or become less relevant. It’s definitely something to keep an eye on! Tools & Releases YOU SHOULD KNOW ABOUT Here are some key tools and releases that deserve a spot on your radar this week: Parcel 2.13.0: This update includes faster resolver caching (which speeds up builds by improving how dependencies are resolved) and adds glob support in package.json, allowing you to match patterns for files more easily. Lexical 0.20: Lexical is an extensible text editor framework from Meta, focused on speed, accessibility, and cross-platform compatibility. It even has a Swift variant for iOS, making it a must-try if you’re building text-heavy apps. @clerk/nextjs v6: Clerk’s latest release supports Next.js 15 with async auth(), static rendering by default, and partial pre-rendering. It’s backward-compatible with Next.js 14, making it a seamless upgrade for any dev team. Storybook 8.4: Frontend devs, this is one to check out! Storybook 8.4 now features one-click component testing right in your browser, full support for Svelte 5, and React Native Storybook updates. Plus, the bundle size is now 50% smaller, making it faster and leaner. Jsep: Looking to parse expressions in JavaScript? jsep is a lightweight library that converts expressions like x * (1 + 2) into an AST. It’s flexible, lightweight, and supports custom operators, making it perfect for both client and server-side projects. Expo SDK 52: React Native developers, this one's for you! Expo SDK 52 brings React Native 0.76 with a 38% performance boost thanks to its new architecture. This release also includes new libraries, bug fixes, and ecosystem improvements. Upgrade now with npx expo install expo@^52.0.0 --fix If you found these JavaScript updates useful, give this post an upvote to help others discover it. Don’t forget to share it with your fellow developers and keep an eye out for more insights in the JavaScript world. Until next time, keep coding and stay curious! Hello JavaScript Enthusiasts! Welcome to this week’s edition of “ This Week In JavaScript ”! This Week In JavaScript Today, we’re diving into TypeScript’s latest release candidate, a thought-provoking discussion about the future of frameworks in the AI era, and some must-know tools to boost your dev game. Let’s jump right in! Typescript 5.7 RC Lands You can now install TypeScript 5.7 Release Candidate with: TypeScript 5.7 Release Candidate npm install -D typescript@rc npm install -D typescript@rc Here’s what’s new: Here’s what’s new: Smarter Bug Detection: New checks catch never-initialized variables, even in deeply nested functions. Smarter Bug Detection: No-Build Convenience: For ts-node and Deno users, the --rewriteRelativeImportExtensions option automatically converts .ts imports to .js, allowing developers to run TypeScript code seamlessly across multiple environments like Node.js and Deno. No-Build Convenience: ECMAScript 2024: Full support for Object.groupBy and Promise.withResolvers, helping you leverage the latest ECMAScript features. ECMAScript 2024: The Vlt Package Manager and Serverless Registry Isaac Schlueter , the creator of npm , is back with something new—vlt and the Serverless Registry (vsr) . Isaac Schlueter npm new—vlt and the Serverless Registry (vsr) vlt Package Manager: A faster, sleeker alternative to npm with features like improved performance and dependency query syntax. vlt Package Manager: Serverless Registry: Compatible with npm, this scalable, private registry gives you full control over your package distribution. Serverless Registry: These tools could significantly streamline how developers manage JavaScript packages by offering faster performance and more control over private package distribution. Component Party If you’re a front-end dev working across multiple frameworks, Component Party is your new best friend. It’s a tool that compares how common tasks are performed across different libraries like React , Vue , Svelte , and Angular . Component Party React Vue Svelte Angular With its latest additions—support for Svelte 5 and Angular 17 —it’s more up-to-date than ever. It offers a side-by-side comparison of how common tasks—like rendering a component or managing state—are handled across libraries like React , Vue , and Svelte . This makes it easier to learn or switch frameworks without wasting time hunting through documentation. Svelte 5 and Angular 17 React Vue Svelte The AI Framework Debate With tools like Replit , Cursor , v0 and more that generate functional code almost instantly, a new debate is brewing: Will frameworks still matter in the future? Replit Cursor v0 Speed vs. Structure: AI-generated code might reduce the reliance on traditional frameworks for certain projects, but frameworks will likely remain essential for larger, complex applications. The real question is how frameworks will evolve alongside these AI tools. Speed vs. Structure: Future Impact: As AI advances, we might see a shift in how software is built—frameworks could evolve or become less relevant. It’s definitely something to keep an eye on! Future Impact: Tools & Releases YOU SHOULD KNOW ABOUT Here are some key tools and releases that deserve a spot on your radar this week: Parcel 2.13.0: This update includes faster resolver caching (which speeds up builds by improving how dependencies are resolved) and adds glob support in package.json, allowing you to match patterns for files more easily. Parcel 2.13.0: Lexical 0.20: Lexical is an extensible text editor framework from Meta, focused on speed, accessibility, and cross-platform compatibility. It even has a Swift variant for iOS, making it a must-try if you’re building text-heavy apps. Lexical 0.20: @clerk/nextjs v6: Clerk’s latest release supports Next.js 15 with async auth(), static rendering by default, and partial pre-rendering. It’s backward-compatible with Next.js 14, making it a seamless upgrade for any dev team. @clerk/nextjs v6: Storybook 8.4: Frontend devs, this is one to check out! Storybook 8.4 now features one-click component testing right in your browser, full support for Svelte 5, and React Native Storybook updates. Plus, the bundle size is now 50% smaller, making it faster and leaner. Storybook 8.4: Jsep: Looking to parse expressions in JavaScript? jsep is a lightweight library that converts expressions like x * (1 + 2) into an AST. It’s flexible, lightweight, and supports custom operators, making it perfect for both client and server-side projects. Jsep: x * (1 + 2) Expo SDK 52: React Native developers, this one's for you! Expo SDK 52 brings React Native 0.76 with a 38% performance boost thanks to its new architecture. This release also includes new libraries, bug fixes, and ecosystem improvements. Expo SDK 52: Upgrade now with npx expo install expo@^52.0.0 --fix npx expo install expo@^52.0.0 --fix If you found these JavaScript updates useful, give this post an upvote to help others discover it. Don’t forget to share it with your fellow developers and keep an eye out for more insights in the JavaScript world. Until next time, keep coding and stay curious!

TypeScript 5.7 RC Released, New npm Alternative, Future of JavaScript Frameworks - This Week in JS

Get Rich Building Verticalized AI Wrappers (Even If You Don’t Code)

রিচ বিল্ডিং ভার্টিক্যালাইজড এআই র‍্যাপার পান (এমনকি যদি আপনি কোড না করেন)

Werden Sie reich durch die Entwicklung vertikaler KI-Wrapper (auch wenn Sie nicht programmieren können)

Hazte rico creando contenedores de IA verticalizados (aunque no sepas programar)

Devenez riche en créant des wrappers d’IA verticalisés (même si vous ne codez pas)

वर्टिकलाइज़्ड AI रैपर बनाकर अमीर बनें (भले ही आप कोड न जानते हों)

Menjadi Kaya dengan Membangun Pembungkus AI Vertikal (Bahkan Jika Anda Tidak Membuat Kode)

垂直統合型 AI ラッパーを構築して金持ちになる (コードを書かなくても)

Rich Building вертикалдандырылған AI орауыштарын алыңыз (тіпті кодтамасаңыз да)

수직화된 AI 래퍼를 구축하여 부자가 되세요(코딩하지 않아도)

Баян барилгын босоо AI боодолтой бол (та код бичээгүй байсан ч)

Fique rico construindo wrappers de IA verticalizados (mesmo que você não codifique)

Разбогатейте, создавая вертикальные оболочки ИИ (даже если вы не пишете код)

Hel dhismo qani ah oo toosan AI ku duub (Xitaa Haddi aadan Codayn)

Get Rich Building Verticalized AI Wrappers (Kahit Hindi Ka Mag-code)

Dikey AI Sarmalayıcıları Oluşturarak Zengin Olun (Kodlamasanız Bile)

رچ بلڈنگ ورٹیکلائزڈ AI ریپر حاصل کریں (چاہے آپ کوڈ نہ بھی کریں)

Làm giàu bằng cách xây dựng các trình bao bọc AI theo chiều dọc (ngay cả khi bạn không viết mã)

通过构建垂直化 AI 包装器致富（即使你不会编码）

5 LLM-based Apps for Developers

Textbooks Are All You Need: Conclusion and References

Boost Your Productivity With These 18 Developer Tools 🚀🔥

এই 18টি ডেভেলপার টুল 🚀🔥 দিয়ে আপনার উৎপাদনশীলতা বাড়ান

Steigern Sie Ihre Produktivität mit diesen 18 Entwicklertools 🚀🔥

Aumente su productividad con estas 18 herramientas para desarrolladores 🚀🔥

Boostez votre productivité avec ces 18 outils de développement 🚀🔥

इन 18 डेवलपर टूल के साथ अपनी उत्पादकता बढ़ाएँ 🚀🔥

18 種類の開発者ツールで生産性を向上しましょう 🚀🔥

이 18가지 개발자 도구로 생산성을 높이세요 🚀🔥

Aumente sua produtividade com estas 18 ferramentas para desenvolvedores 🚀🔥

Повысьте свою производительность с помощью этих 18 инструментов разработчика 🚀🔥

Bu 18 Geliştirici Aracıyla Üretkenliğinizi Artırın 🚀🔥

Tăng năng suất của bạn với 18 công cụ dành cho nhà phát triển này 🚀🔥

使用这 18 种开发工具来提高你的工作效率 🚀🔥

Stories, News & Mentions about REPLIT

Replit’s Stories on HackerNoon

Replit's News & Mentions