Welcome to my digital arena where I want to explore the evolving world of AI with my special twists and turns. There’ll be safety stuff, privacy stuff, and bio-inspirations that bridge the gap between silicon and synapse.
Teaching AI to Read and Group Like I Bookmark the Web: A Journey into Dynamic Topic Modeling
Quick Links: Dataset on HuggingFace The Topic Modeling Challenge You know that feeling when you have 50 browser tabs open, and you’re desperately trying to organize them into bookmark folders? “ML Papers To Read,” “Funny Cat Videos,” “Recipes I’ll Never Make”… We all have our system. And apparently, it’s such a universal problem that every tech company is launching their own solution - Arc Browser with its “Spaces,” Chrome with its tab groups, and about 500 extensions promising to color-code your digital hoarding habits into submission....
Contra-Topic-bottleneck-t5: Efficient Topic Extraction Without the Computational Overhead
Quick Links: Model on HuggingFace | Interactive Demo When it comes to topic extraction, the AI world seems fixated on massive models and expensive compute. But what if there was a simpler way? 🤔 The Genesis: Simplicity Through Linear Transformation Picture this: There I was, looking for an open-source solution to extract topics from text at scale. The available options were either massive language models or complex fine-tuning pipelines. That’s when it hit me – what if we could leverage the semantic structure of existing embeddings with just a linear transformation?...
LinearCosine: When AI Researchers Decided Multiplication was Too Mainstream
Hey there, optimization seekers and efficiency enthusiasts! 📊🧮 Today, we’re diving into a world where even basic arithmetic operations are up for debate. Buckle up as we explore LinearCosine, an experiment that asks: “Do we really need multiplication for AI?” Quick Links to skip the talk: Project Website - Linear Cosine | GitHub Repo | Original Paper The Paper That Started It All During my fall break, while I was supposed to be relaxing, my roommate Yash Maurya forwarded me a fascinating paper by Hongyin Luo and Wei Sun titled “Addition is All You Need for Energy-efficient Language Models”....
AdaptKeyBERT: Stumbling Through Two Years of Keyword Extraction
Quick links (in case you want to skip my ramblings): PyPI Package GitHub Repository Alright, gather ‘round, word enthusiasts and syntax sorcerers! 🧙♂️📚 Remember that time you tried to explain machine learning to your grandma and ended up comparing neural networks to her knitting patterns? Well, buckle up, because we’re about to dive into a similar realm of “What was I thinking?” – the saga of AdaptKeyBERT. It’s been two trips around the sun since I cobbled together this quirky little keyword extractor and sent it off into the wild world of NLP....
API-LLM-Hub: Simplifying LLM-API integration for Static Pages
Hey there, fellow code enthusiasts and AI wranglers! 🖐️🤖 You know that feeling when you’re knee-deep in a project, trying to get multiple AI models to play nice in your browser? Yeah, I’ve been there. Cue the frustrated sighs, the endless searches over GitHub issues 😢, and the “why-isn’t-this-working” hair-pulling sessions. LINK-TO-PACKAGE just in case you wanna skip the deets After one too many nights wrestling with backends, CORS issues, and the general chaos of integrating various AI APIs, I decided enough was enough....
YC-Dendrolinguistics: Planting Linguistic Trees in the Startup Forest
Hey there, fellow AI adventurers and startup enthusiasts! 🌳🚀 Today, I’m excited to give you a peek into my latest passion project: YC-Dendrolinguistics. Buckle up as we embark on a journey through the linguistic forests of Y-Combinator pitches! The Seed of an Idea Picture this: It’s 2 AM, I’m knee-deep in YC application videos, and suddenly it hits me – what if startup pitches are like trees? 🤔 Each word a branch, each phrase a limb, growing into this complex organism we call a pitch....
Synaptic Sparks: Why I'm Wiring My Thoughts into a Neural Blogosphere
Hey there, fellow AI enthusiasts and curious minds! 🧠🤖 Today, I just want to document what’s leading to this new adventure in regular blogging. The Knowledge Synapse Picture me back in 2019, a wide-eyed novice bouncing around the vast landscape of machine learning. I was devouring every GitHub gist, Medium post, and arXiv paper I could find, growing and learning at a dizzying pace. Fast forward to today, and it feels like I’ve stepped into an alternate universe....
FRACTURED-SORRY-Bench: Unraveling AI Safety through Decomposing Malicious Intents
Hello, fellow AI enthusiasts! 🤖 Today, I wanted to dive into the FRACTURED-SORRY-Bench framework and dataset we just released. Check out the dataset, website, and github for the dataset! The FRACTURED-SORRY Saga: A Tale of Adaptation and Decomposition Picture this: you’re wandering through the lush collection of prompt-injection and llm-red-teaming papers, marveling at some of the weird and some of the crazier attack mechanisms that have been released recently. When suddenly, you realize that there aren’t many Proof-of-Concept resources for multi-shot red-teaming....