Sanyam Bhutani @bhutanisanyam1
👨💻 Sr Data Scientist @h2oai | Previously: @weights_biases 🎙 Podcast Host @ctdsshow 👨🎓 International Fellow @fastdotai 🎲 Grandmaster @Kaggle youtube.com/c/chaitimedata… India Joined October 2016-
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Today at @answerdotai we've got something new for you: FSDP/QDoRA. We've tested it with @AIatMeta Llama3 and the results blow away anything we've seen before. I believe that this combination is likely to create better task-specific models than anything else at any cost. 🧵
Congrats to @AIatMeta on Llama 3 release!! 🎉 ai.meta.com/blog/meta-llam… Notes: Releasing 8B and 70B (both base and finetuned) models, strong-performing in their model class (but we'll see when the rankings come in @ @lmsysorg :)) 400B is still training, but already encroaching…
llama-3 is out! 🚀 - 8B and 70B - 400B model is still training - 8k context length llama.meta.com/llama3/
RAG vs. Fine-Tuning debates drive me nuts. They are not fungible replacements for each other. @dan_s_becker and I are teaching a free lighting course on the topic maven.com/p/787a2f/rag-a…
I read over 100 pitch decks in the last 24 hours for AI companies, most people need to 10x the level of their ambition.
A few weeks ago, I had an incredible conversation with @jeremyphoward We chatted all things AnswerAI (his new startup), FastAI, and more. I hope you enjoy this as much as I did 🫶 youtu.be/OujUZnXf4J0?si…
There are a growing number of voices expressing disillusionment with fine-tuning. I'm curious about the sentiment more generally. (I am withholding sharing my opinion rn). Tweets below are from @mlpowered @abacaj @emollick
I've been coding on GitHub quite consistently for about 12 years, but I honestly never expected to find myself up there 😊
The incredible @radekosmulski was kind enough to interview me 🙏 We talked about: - My journey into programming - How fastai changed my life - Why I started my podcast series - My approach to goal setting - Reading LLM papers Thanks again Radek! m.youtube.com/watch?v=JrwO7f…
You need to put 2x the quantity as your goal, where x is the quantity you can achieve easily in a week. Eg: you should aim daily 2 hours to read paper, if you can comfortably read 1 hour now. - @bhutanisanyam1 said this during an interview with Radek. youtu.be/JrwO7f2C__U?si…
After watching the video youtu.be/haRCu4hoI2A?si… I have started reading this book. I will be posting some ideas from this book. Thanks @bhutanisanyam1 and @radekosmulski
Last week, @radekosmulski and I got to hangout with the CEO of Answer.ai 🙏 @jeremyphoward has always been very kind to us with his time Also, he owns a large beach in Brisbane so that makes it an awesome trip 😁
A perfect intro to open source LLMs! 🙏 The course by @asangani7 is now my top recommendation for getting started with Large Language Models: - Just enough theory for a whole picture - Teaches prompting, special tokens and conversational agents - Perfectly abstracts the…
After 3 years of learning, being mentored and building with this legend I finally met @amaarora in person! 🙏
New (2h13m 😅) lecture: "Let's build the GPT Tokenizer" Tokenizers are a completely separate stage of the LLM pipeline: they have their own training set, training algorithm (Byte Pair Encoding), and after training implement two functions: encode() from strings to tokens, and…
uv venv creates a virtual environment ✨ with a sensible default (.venv) 🤩 includes a .gitignore for it chefkiss 👩🍳 uv pip compile and uv pip install are crazy fast 😮 I have to manually check the files to confirm it actually did something, it's annoyingly fast 🤯
uv venv creates a virtual environment ✨ with a sensible default (.venv) 🤩 includes a .gitignore for it chefkiss 👩🍳 uv pip compile and uv pip install are crazy fast 😮 I have to manually check the files to confirm it actually did something, it's annoyingly fast 🤯
LLM Fine-Tuning Benchmarks! 🙏 Super excited to finally publish this report comparing different GPUs and precisions: - First, why do it and what is it? - There are MANY GPU benchmarks but few specific to Large Language Models - I wanted to compare their behaviour from…
Bojan Tunguz @tunguz
187K Followers 8K Following Machine Learning ex Nvidia. Kaggle Quadruple Grandmaster. Data Scientist. Physicist. Catholic. Husband. Father. Stanford Alum. e/xgb. XGBoost.eth. AMDG.Sebastian Raschka @rasbt
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81K Followers 663 Following 🤗 I build AutoTrain @huggingface 👨🏽💻 World's First 4x Grand Master @kaggle 🎥 YouTube 100k+: https://t.co/BHnem8fTu5 ⭐ GitHub StarJeremy Howard @jeremyphoward
222K Followers 5K Following 🇦🇺 Co-founder: @AnswerDotAI & @FastDotAI ; Hon Professor: @UQSchoolITEE ; Digital Fellow: @StanfordRadek Osmulski 🇺�.. @radekosmulski
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31K Followers 166 Following Head of Preparedness at OpenAI and MIT faculty (on leave). Working on making AI more reliable and safe, as well as on AI having a positive impact on society.I'm really excited to share with all of you that I have joined as an ML engineer at @SarvamAI today to build full-stack GenAI applications for Indian languages. Check my full post below attached as image:
Today at @answerdotai we've got something new for you: FSDP/QDoRA. We've tested it with @AIatMeta Llama3 and the results blow away anything we've seen before. I believe that this combination is likely to create better task-specific models than anything else at any cost. 🧵
Congrats to @AIatMeta on Llama 3 release!! 🎉 ai.meta.com/blog/meta-llam… Notes: Releasing 8B and 70B (both base and finetuned) models, strong-performing in their model class (but we'll see when the rankings come in @ @lmsysorg :)) 400B is still training, but already encroaching…
Did not do this on my own—thanks to @HamelHusain, @vibhuuuus, @freddie_v4, @sh_reya, @nihit_desai, @BEBischof, and @jxnlco for their feedback on drafts and/or tolerating my rants and incessant talk on evals.
Excited to share I’ve joined @Google to lead product for AI Studio and support the Gemini API. Lots of hard work ahead, but we are going to make Google the best home for developers building with AI. I’m not going to settle for anything less.
RAG vs. Fine-Tuning debates drive me nuts. They are not fungible replacements for each other. @dan_s_becker and I are teaching a free lighting course on the topic maven.com/p/787a2f/rag-a…
I read over 100 pitch decks in the last 24 hours for AI companies, most people need to 10x the level of their ambition.
A few weeks ago, I had an incredible conversation with @jeremyphoward We chatted all things AnswerAI (his new startup), FastAI, and more. I hope you enjoy this as much as I did 🫶 youtu.be/OujUZnXf4J0?si…
@bhutanisanyam1 IIRC you have to tweak a whole bunch of optimizations to get it fast
@bhutanisanyam1 No TRT-LLM is faster, but also 10x harder to use
If anyone figures out how to run DBRX on TRT-LLM, please share the details
@bhutanisanyam1 @OfficialLoganK 100%. Everyone here is just amazing. I’m big fan of @chipro’s work.
@bhutanisanyam1 Wow, thanks a lot Sanyam. I am trying very hard to make it as good as possible. It's tons of work but it's also among my favorite projects!
Who are the best AI hackers / builders you know? Tag them, trying to meet more great people 🧵👇
There are a growing number of voices expressing disillusionment with fine-tuning. I'm curious about the sentiment more generally. (I am withholding sharing my opinion rn). Tweets below are from @mlpowered @abacaj @emollick
I've been coding on GitHub quite consistently for about 12 years, but I honestly never expected to find myself up there 😊
@bhutanisanyam1 Thank you so much, my friend! 🙂 And thank you very much for coming on the podcast and being so generous in sharing your thoughts and ideas! May I say that this has been just the inspiration I have been needing myself 🙏 Thank you!!!!!!!!!!! 🙌