Leexi

Due to the versatility of optimizations in FlashDecoding++, it can achieve up to 4.86× and 2.18× speedup on both NVIDIA and AMD GPUs compared to Hugging Face.

FlashDecoding++: Faster Large Language Model Inference on GPUs: Conclusion & References

How AI is transforming English learning through speaking simulations, personalized podcasts, and vocabulary games. Lessons from building LexiTalk AI.

Building an AI-Powered Language Learning App: Lessons from LexiTalk AI

We collected lexicons for fine-grained categories of SS and SI using an iterative method that included manual chart reviews and semi-automatic methods.

How We Collected Lexicons for Fine-Grained Categories of SS and SI Using an Iterative Method

Lookaheads and lookbehinds allow you to create your own ^ and $ sub-expressions

Build Your Own Programming Language Part III: Improving Lexical Analysis with Regex Lookaheads

Lexical functional programming - jargon and naming convention. How to standardize descriptive names? 

What is Lexical Functional Programming ?

As a <a href="https://hackernoon.com/tagged/javascript" target="_blank">JavaScript</a> Programmer have you ever wondered how JavaScript engine executes your code when its run inside the <a href="https://hackernoon.com/tagged/browser" target="_blank">browser</a>? And how they keeps track the local scoping using Lexical Environment when they executed?

JavaScript Execution Context and Lexical Environment Explained.

With a view to amplify the digitization of assets into tradable tokens, LEXIT and Tokenport are entering into a partnership. The main aim of this merger is to increase the liquidity for IP, assets and companies — part or whole.

Tokenization with Lexit and TokenPort

One of the most anticipated new features in the ES6 Javascript standard was the <a href="https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Functions/Arrow_functions" target="_blank">Arrow Function Expression</a>. It promises a <a href="https://www.sitepoint.com/es6-arrow-functions-new-fat-concise-syntax-javascript/" target="_blank">shorter syntax</a> than it’s predecessor the <a href="https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Operators/function" target="_blank">Function Expression</a>. In addition(and IMHO more exciting) is how the new Arrow Function binds, or actually DOES NOT bind it’s own <code class="markup--code markup--p-code">this</code>. Arrow Functions lexically bind their context so <code class="markup--code markup--p-code">this</code> actually refers to the originating context.

Javascript ES6 — Arrow Functions and Lexical `this`

Welcome to the third article of the <a href="https://hackernoon.com/lets-build-a-programming-language-2612349105c6" target="_blank">Let’s Build a Programming Language (LBPL) series</a>. If this is the first article you’re reading in the series, LBPL is a series of articles that takes the reader from 0 to 1 in implementing a programming language. You can check the second article about compilers and interpreters <a href="https://hackernoon.com/compilers-and-interpreters-3e354a2e41cf" target="_blank">here</a> and the general introduction <a href="https://hackernoon.com/lets-build-a-programming-language-2612349105c6" target="_blank">here</a>.

Lexical Analysis

Last year we published <a href="http://dl.acm.org/citation.cfm?id=2858535" target="_blank">Empath</a>, a tool for text analysis, which was fortunate enough to win a Best Paper award at CHI. Empath allows researchers to analyze text over a much larger set of categories than are available in existing lexicons (for example, “violence”, “depression”, or “politics”), and it can generate new lexicons on demand using a model based on <a href="https://papers.nips.cc/paper/5021-distributed-representations-of-words-and-phrases-and-their-compositionality.pdf" target="_blank">neural embeddings</a> and <a href="https://en.wikipedia.org/wiki/Crowdsourcing" target="_blank">crowdsourcing</a>.

What’s in an Inauguration Speech? A Lexical Analysis via Empath

ScyllaDB Vector Search reaches 1B vectors with 2ms p99 latency and 250K QPS, unifying structured data and embeddings at scale.

Benchmarking 1B Vectors with Low Latency and High Throughput

Random UUIDs silently fragment your database and slow down inserts. Learn how UUID v7, ULIDs, and Symfony’s Uid component dramatically boost performance.

The Quiet Bottleneck in Your Symfony App: Fragmented Indexes and Random UUIDs

From simplifying tasks with direct manipulation to generating code from examples, tracing how intelligent tools have always helped programmers

Solving Coding Puzzles: The Evolution of Programmer Assistance Tools

A deep dive into why LLMs need both metrics and human feedback for real-world accuracy, ethics, and performance.

Toward Holistic Evaluation of LLMs: Integrating Human Feedback with Traditional Metrics

Can AI feel? Explore how DALL-E uses color, style, and emotion to generate art that mirrors the soul of masters like Picasso and Van Gogh.

Generating Emotions - The Future of Art, or Just Mimics of Expression?

Replacing people with AI agents can't be a solution for any of today's complexities in software development.

Bet on the Future of Software Development

This section reviews key bibliometric indicators used to measure technology convergence, including keywords, citations, and collaborations

Measuring Technology Convergence: Keywords, Citations, and Collaborations

Explore future perspectives for enhancing biomedical text mining community challenges in the era of large language models.

Future Perspectives in the Era of Large Language Models, and References

This study delves into how AI models detect and categorize gender and race in text, exploring biases and limitations in representing diverse identities.

How AI Models Gender and Sexual Orientation

Generative AI systems reinforce bias and stereotypes, harming minoritized users through omission, subordination, and stereotyping in everyday interactions.

AI Bias Isn't Always Loud—Sometimes Its Laissez-Faire

Learn how we built an AI-powered UI search system using vector embeddings, HyDE, and MMR to improve discovery for React components.

How We Built a Semantic Search Engine for React Components Using AI

While "AI agent" is indeed a term enjoying significant buzz, understanding its core meaning is crucial.

What Exactly is an AI Agent? Examples and Counterexamples

ChatGPT's advancements in bioinformatics are promising, yet challenges remain. Fine-tuning, human feedback, and improved benchmarks will drive future success.

Fine-Tuning ChatGPT for Improved Performance in Bioinformatics

Enhancing movie script summarization with scene saliency detection for better content selection and efficient storytelling.

What Makes a Scene Important? This AI Knows

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FlashDecoding++: Faster Large Language Model Inference on GPUs: Conclusion & References

Building an AI-Powered Language Learning App: Lessons from LexiTalk AI

How We Collected Lexicons for Fine-Grained Categories of SS and SI Using an Iterative Method

Build Your Own Programming Language Part III: Improving Lexical Analysis with Regex Lookaheads

What is Lexical Functional Programming ?

JavaScript Execution Context and Lexical Environment Explained.

Tokenization with Lexit and TokenPort

Javascript ES6 — Arrow Functions and Lexical `this`

Lexical Analysis

What’s in an Inauguration Speech? A Lexical Analysis via Empath

Benchmarking 1B Vectors with Low Latency and High Throughput

The Quiet Bottleneck in Your Symfony App: Fragmented Indexes and Random UUIDs

Solving Coding Puzzles: The Evolution of Programmer Assistance Tools

Toward Holistic Evaluation of LLMs: Integrating Human Feedback with Traditional Metrics

Generating Emotions - The Future of Art, or Just Mimics of Expression?

Bet on the Future of Software Development

Measuring Technology Convergence: Keywords, Citations, and Collaborations

Future Perspectives in the Era of Large Language Models, and References

How AI Models Gender and Sexual Orientation

AI Bias Isn't Always Loud—Sometimes Its Laissez-Faire

How We Built a Semantic Search Engine for React Components Using AI

What Exactly is an AI Agent? Examples and Counterexamples

Fine-Tuning ChatGPT for Improved Performance in Bioinformatics

What Makes a Scene Important? This AI Knows

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