Yatharth kapadia @yatharthk2
Masters Student at IUB Chicago, IL Joined June 2018-
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If we view Attention and MLP as below, they look drastically similar: Attention: out = f(Q * K^T) * V MLP: out = g(X * W_1) * W_2 where f is Softmax and g is whatever nonlinearity. So, why is there a FlashAttention but no FlashMLP? 🤔 As a CUDA enthusiast, I have a theory,…
Towards Large Language Models as Copilots for Theorem Proving in Lean - Opensource all codes under MIT license - Shows effectiveness in assisting humans and ATP process compared to existing rule-based proof automation repo: github.com/lean-dojo/Lean… abs: arxiv.org/abs/2404.12534
Who is creating a pytest-like tool for testing LLMs (where you can also track metrics, version data alongside code, etc)? looking for OSS
All of @RLanceMartin's expertise on RAG combined into a 2hr30min long video!
All of @RLanceMartin's expertise on RAG combined into a 2hr30min long video!
What a week, huh? 1. Mojo 🔥 went open-source 2. Claude 3 beats GPT-4 3. $100B supercomputer from MSFT and OpenAI 4. Andrew Ng and Harrison Chase discussed AI Agents 5. Karpathy talked about the future of AI ... And more. Here is everything that will keep you up at night:
Solution #2: Integrate best-of-breed MLOps tools (aka Serverless ML) You choose best-of-breed single-purpose tools, for example: → Hopsworks as Feature Store 📊 → Weights&Biases as Experiment tracker 🧪 → Modal as Compute Engine 🏋️♂️ → HuggingFace for Model serving 💁
I guess this "Sora" paper could easily be cited thousands of times in a few years. similar to this "ReLU" paper...
I guess this "Sora" paper could easily be cited thousands of times in a few years. similar to this "ReLU" paper... https://t.co/JcJ0GeV8ZF
This is why football is a beautiful sport
Happy World Elephant Day 🐘 Sharing again this incredible incident when TN Foresters rescued & united a baby elephant with the herd in Mudumalai in Oct 2021.The way the kutty elephant faithfully walks behind the foresters melts the heart ❤️ #worldelephantsday
Always running behind an endless search for satisfaction........ but one question still remains .... was it worth it ??
According to Hive Systems your passwords should be at least 18 mixed up characters for maximum security. Here's how long it would take a hacker to come up with as many combinations or passphrases before guessing your password [read more, methodology: buff.ly/3DywidQ]
Don’t lie and say April fool. Plant a tree and say April Cool.
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173K Followers 2K Following https://t.co/X5QMm3wlHe (use code FOLLOWER at checkout to join at half price)💾 LLM Datasets LLM development is increasingly moving towards curating high-quality datasets, as shown by Llama 3. I've compiled a collection of fine-tuning datasets along with advice and tools for creating your own. 💻 GitHub: github.com/mlabonne/llm-d…
The Top ML Papers of the Week (April 22 - April 28): - Phi-3 - OpenELM - AutoCrawler - Self-Evolution of LLMs - AI-powered Gene Editors - Make Your LLM Fully Utilize the Context ...
Great release from @cohere. Many interesting details in this codebase. See for instance all the markdown plugins to display LLM generated content. github.com/cohere-ai/cohe…
Favorite release in April: we open-sourced Coral, our RAG-optimized chat interface! What's inside? 🪸 > multi-turn conversations, citations, document uploads, chat history > supports custom retrieval tools and data sources > integrates with our models on AWS and Azure, soon all…
I'm keen to learn more about MLX Machine learning library over the weekend and there has been a lot of great content about it. I have started an awesome-mlx repo to collect all resources. Please help to spread the words and contribute if possible 🙏 github.com/antranapp/awes…
"We show in our paper that the behavior of LLMs is consistent with Bayesian learning and explain many empirical observations of the LLMs using our model." Very interesting paper mapping LLM behavior to Bayesian learning: arxiv.org/pdf/2402.03175
If anybody is at ASPLOS, I'll be at the PyTorch tutorial! I'll be presenting a tutorial on TorchInductor and also some random speculation on research ideas. github.com/pytorch/worksh…
🧠 Run LLama 3 70B on a Single 4GB GPU - with airllm and layered inference 🔥 layer-wise inference is essentially the "divide and conquer" approach 📌 And this is without using quantization, distillation, pruning or other model compression techniques 📌 The reason large…
What is the most impactful ML systems work from academia published at a systems conference? For example, ASPLOS or OSDI?
Today I’m excited to share a little about the new company I’ve been working on: Gestalt is the best way for businesses to deeply understand people. In many ways, I view Gestalt as a Human Data Interface — a new kind of tool that reimagines how we think about data as humans,…
RESEARCH OPPORTUNITY ALERT. If you're interested in synthetic data, we're recruiting for a Research Scholar to collaborate with Cohere For AI for a 6-month internship. Must be available full-time starting ASAP. DM if you're interested 🥰.
I've just released llamafile v0.8 which features LLaMA3, Mixtral 8x22b, and Grok support. It goes 25x faster than ollama at running LLaMA3 70B on CPU. My new tensor multiplication kernels let llamafile eval MoE models 2x faster than llama.cpp github.com/Mozilla-Ocho/l…
Snowflake dropped a 408B Dense + Hybrid MoE 🔥 > 17B active parameters > 128 experts > trained on 3.5T tokens > uses top-2 gating > fully apache 2.0 licensed (along with data recipe too) > excels at tasks like SQL generation, coding, instruction following > 4K context window,…
Two new AI releases by Apple today: 🧚♀️ OpenELM, a set of small (270M-3B) efficient language models. Weights on the Hub: Pretrained: huggingface.co/collections/ap… Instruct: huggingface.co/collections/ap… 👷♀️ CoreNet, a training library used to train OpenELM: github.com/apple/corenet
Apple is joining the public AI game with 4 new models on the Hugging Face hub! huggingface.co/collections/ap…
Towards Large Language Models as Copilots for Theorem Proving in Lean - Opensource all codes under MIT license - Shows effectiveness in assisting humans and ATP process compared to existing rule-based proof automation repo: github.com/lean-dojo/Lean… abs: arxiv.org/abs/2404.12534
llama3 has superior in-context learning. llama3 responds well to SFT with error feedback dataset. really happy with how my SFT turned out (after 2 fails) on my multi-turn error and improvement feed dataset. this is what sets it apart from all other prev. OSS models - ability to…
Tomorrow in the reading group we discuss "Smooth, exact rotational symmetrization for deep learning on point clouds"! arxiv.org/abs/2305.19302 Join us at 11am EDT / 5pm CEST on zoom: portal.valencelabs.com/logg
Wake up babe Alibaba just dropped a new SOTA Apache 2 embedding model. 434M params, 57.91 MTEB retrieval score, 8192 token context length, transformer++ encoder backbone (BERT + RoPE + GLU).