Codemonk

GPT Pilot is a dev tool that increases developer’s productivity 20x by offloading 95% coding tasks from developer to LLM.


How GPT Pilot Codes 95% of Your App [Part 2]

Coding for kids is one of the hottest topics among many parents and teachers right now. Here, I'll explain the benefits of learning to code at a young age.

How To Get Your Kids Coding: A Quick Guide for Moms & Dads

One of the biggest problems that some people have is that they don’t know fun ways to learn to code, but with some free games which you will read in this articl

8 Free Online Games to Help You Learn Coding

The biggest question you should ask yourself before read further is "What is coding?". So coding is the process of assigning a code to something for classification or identification.

Coding Games and Websites to Help You Learn Programming

I’ve dealt with a lot of <a href="https://hackernoon.com/tagged/tech" target="_blank">tech</a> companies over the course of my career and I’ve noticed something unique about the successful ones. There’s a strong correlation between being a successful <a href="https://hackernoon.com/tagged/company" target="_blank">company</a> and several various traits like quick product development and attracting top talent. There’s several key elements of these companies’ cultures that just make them stand out. One of the biggest common denominators that I’ve witnessed is how the company treats its employees’ time, and more specifically for this post, its programmers’ time.

Programmer’s time — part 1

This post isn’t about why you should teach your kids to code (there’s plenty of those out there), it’s about the how. I’ve detailed several tools below which should be useful for children of all ages to learn <a href="https://hackernoon.com/tagged/programming" target="_blank">programming</a> concepts and languages.

Teach Your Kids to Code

This section outlines the practical evaluation of multi-token pretrained models finetuned on the CodeContests dataset, assessing their real-world coding

Real-World Code Performance: Multi-Token Finetuning on CodeContests

Explore the detailed methodology for finetuning multi-token pretrained LLMs on the challenging CodeContests dataset

CodeContests Finetuning: Details for Multi-Token LLMs

How many of us have Reward points that are sleeping in our accounts? How challenging it is to track them? How does it affect brands? And a lot more questions keep arising, when Reward Points become the subject to be discussed. And the comforting factor is that we are not alone, Globally 48 trillion reward points are lying idle in members accounts due to the above mentioned problem.

Codemojo (Backed by PayPal) to Disrupt the $360 Bn worth Rewards Industry

CodeGrok MCP replaces grep with semantic code search for AI agents. AST parsing + vector embeddings = 10x better context efficiency. 100% local

CodeGrok MCP: Semantic Code Search That Saves AI Agents 10x in Context Usage

An in-depth look at Vector Databases, their architecture, use cases, and how they differ from traditional databases.

The Hidden Architecture Powering AI Search: Vector Databases Under the Hood

This article presents an ablation study confirming that disentangling motion latents into upper and lower halves significantly enhances 3D avatar reconstruction

The Importance of Disentanglement: SAGE Outperforms Unified VQ-VAE Baselines in Full-Body Motion

This article describes the technique for achieving disentangled motion representation by splitting full-body kinematics into upper and lower halves.

Disentangled Motion Representation: Encoding Full-Body Avatars into Discrete Latent Spaces

Could models like Claude, GPT-4, or Gemini Pro be losing their top spot?

Moonshot's Kimi K2 Is a Hefty Contender to Claude, GPT-4 & Even Gemini

This table evaluates the impact of multi-token prediction on Llama 2 fine-tuning, suggesting that it does not significantly improve performance on various tasks

Llama 2 Finetuning Results: Multi-Token Prediction on Coding Benchmarks

This section distinguishes our multi-token prediction approach from other language modeling losses and previous multi-token methods

Differentiating Multi-Token Prediction from Prior LLM Training Methods

The latest release transforms how the AI assistant understands your coding style, making it feel like it's truly part of your development team.

Visual Studio Code 1.100: AI Gets Personal!

Guide to operationalizing vector embeddings. Learn vector search, management, ANN, quantization, filtering & access patterns for AI engineers.

The AI Engineer’s Playbook: Mastering Vector Search & Management (Part 2)

This study discusses how AI stories perpetuate stereotypes, focusing on the White Savior, Noble Savage, and Perpetual Foreigner tropes. 

Quantifying the Stereotypes in AI-Generated Text

Study reveals how AI-generated stories reinforce racial, queer, and Indigenous stereotypes, echoing societal bias through narrative patterns.

What AI Gets Wrong About Queer, Indigenous, and Racial Minorities

AI vs. Your IP? Story Protocol offers hope! Discover how tokenized IP can protect your creations in an AI-dominated world.

This New Protocol Promises to Give Back Control Over Your Data, But Is It Up To The Challenge?

Explore the hidden risks of restaking on Ethereum and in DeFi—slashing, centralization, and liquidity cascades. Are higher yields worth the ticking time bomb?

More Yield, More Problems: The Restaking Risks You Can't Afford to Ignore

Discover our 24-layer Conformer pre-training details and evaluation methods using Claude 2.1 to ensure safety, relevance, and helpfulness in SLMs.

Audio Encoder Pre-training and Evaluation Enhance SLM Safety

Explore how advancements in speech-to-speech translation tackle inefficiencies in cascaded models and enhance semantic and vocal style transfer.

Advancements in Speech Translation Address Inefficiency and Errors in Cascaded Models

Codemonk is a young and energetic startup that empowers other startups and enterprises by building simple and elegant software solutions

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