s r @iamsarath
I am deep learning enthusiastic, who loves to follow , learn and share technologies, for a better world. # learn and share Bengaluru, India Joined October 2009-
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Looking for a silent 3-day staycation spot 150–200 km from Bangalore. Somewhere peaceful, close to nature, and away from the crowd. Any hidden gems or offbeat stays you'd recommend?
I interviewed for an ML research internship at Meta (FAIR) a few years back. Don’t remember every detail now, but a few questions stuck with me. Questions are below.
As promised last week, here's a full tutorial for training a language model using the reinforcement learning algorithm GRPO, the algorithm used by DeepSeek to train R1 and R1-Zero. So that it could be run in Google Colab on an A100 with 40GB of VRAM, I used a small model,…
[RLHF] by Hand ✍️ Yesterday, Jan Leike (@janleike) announced he is joining #Anthropic to lead their "super-alignment" mission. He is the co-inventor of Reinforcement Learning with Human Feedback (#RLHF). How does RLHF work? [1] Given ↳ Reward Model (RM) ↳ Large Language…
LoRA is a genius idea. To understand the fine-tuning of Large Language Models, you must understand how LoRA works. By the end of this post, you'll know everything important about how it works. Large Language Models are good generalists, but they have little specialization. We…
I can't get over @ylecun tweeting that surya was nice. Lifetime achievement unlock. My next steps are: - Improving old/scanned doc performance - Seeing if I can do anything about rotations Then on to the next recognition part! Here's the repo - github.com/VikParuchuri/s… .
I am a few days late to the party, but I just got a chance to read the TinyLlama paper (arxiv.org/abs/2401.02385) -- the latest addition to the "small" LLM category. On that note, what makes small LLMs (also referred to as SLMs, short for Small Language Models) so attractive?…
540x Faster than GPT-4 100x Longer Sequences than GPT-4 And, better performance on Long Sequence tasks than GPT-4. Multi-Modal Mamba is going to change the LLM game on a scale you couldn't possibly imagine in the flash of a lightning. [Get Access Now] github.com/kyegomez/Multi…
Put a recording of my recent talk on "training and deploying open-source LLMs" on @YouTube Involves all the steps to create a ChatGPT at home which stays 100% private: supervised fine-tuning (SFT), human preference fine-tuning, serving using vLLM or TGI youtube.com/watch?v=Ma4clS…
Advanced RAG Cheat Sheet + Recipes 🧑🍳 We’re publishing a comprehensive diagram outlining all the different components of advanced RAG, the pain points they solve, and links to LlamaIndex resources. Here’s some core concepts that motivate advanced RAGs: 💡 Success metric for RAG…
A new paper just identified 26 principles to improve the quality of LLM responses by 50%. The tests were done across LLaMA-1/2 (7B, 13B and 70B) and GPT-3.5/4. Here are some surprising prompts: - Add “I’m going to tip $for a better solution - Incorporate the following phrases:…
You can now finally create your own stock photo smiling while eating salad in seconds 👨🎤🥗 IP-Apdater-FaceID Plus was silently released last week - it's first inference technique time face really captures my likeness 🥸🦚 ▶️ huggingface.co/spaces/multimo…
Welcome OpenVoice! 🎙️ A versatile voice cloning approach that requires only a short audio clip from the reference speaker to replicate their voice and generate speech in multiple languages. Open access weights 🔥 It enables granular control over voice styles, including…
Sharing my recent slides on how to train and deploy open-source LLMs Goes over * SFT, DPO with tools like @huggingface TRL/PEFT * renting GPUs on @runpod_io and others * setting up serverless vs dedicated APIs with TGI/vLLM/@togethercompute etc. docs.google.com/presentation/d…
How can we reduce the deploy cost of LLMs by 100x? From GPUs to MLSys, from MoEs to Speculative Decoding, in this blog post, we give a full-stack examination of transformer inference optimization yaofu.notion.site/Towards-100x-S…
What is Mixture-of-Experts (MoE)? MoE is a neural network architecture design that integrates layers of experts/models within the Transformer block. As data flows through the MoE layers, each input token is dynamically routed to a subset of the experts for computation. This…
There are a lot of new papers on instruction tuning/RLHF this year. I wrote a blog post to give a brief review. gaotianyu.xyz/blog/2023/11/3…
I'm sharing a Colab Notebook to fine-tune Falcon 7B / 40B by @TIIuae on a single GPU using #QLoRA on @vast_ai. It's then utilized with @LangChainAI. Compare results from the base and fine-tuned models side by side. Shout out to @huggingface. colab.research.google.com/github/experie…
I really enjoyed reading this work, directly optimize for preferences. The objective function is clean! -The (dynamic) loss weights gives me boosting-vibes.
I really enjoyed reading this work, directly optimize for preferences. The objective function is clean! -The (dynamic) loss weights gives me boosting-vibes.
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