Mahesh Sathiamoorthy @madiator
RL Environment Curation. Data Curation (e.g. OpenThoughts). Post-training. CEO @bespokelabsai. Ex-GoogleDeepMind. smahesh.com Token Town Joined February 2008-
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I got called out by none other than Schmidhuber. Uchievement unlocked!
I got called out by none other than Schmidhuber. Uchievement unlocked!
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~2012 must have been like a crazy time. Neural networks were considered nonsense by most people. Hinton, LeCun and Bengio were the amongst the very few people who kept it all alive for decades. Alex Krizhevsky, a mad coding genius and a socially aloof kid, shows up to Hinton's…
Post-training is the way forward. For what it's worth, the original RAG paper actually finetunes the LLM. It's useful to post-train the models to learn how to use search. If you are doing agentic RAG, you should figure out how to do RL there. When OpenAI wants to build Deep…
Post-training is the way forward. For what it's worth, the original RAG paper actually finetunes the LLM. It's useful to post-train the models to learn how to use search. If you are doing agentic RAG, you should figure out how to do RL there. When OpenAI wants to build Deep…
Good old days when DeepMind and OpenAI collaborated.
Totally agree! And this is also why the full weight of post-training, where RL is included, is interesting to me. I want the model to learn the knowledge (CPT), use the right tools for retrieval and getting things done (RL), and present a good answer (~SFT, or these days…
Totally agree! And this is also why the full weight of post-training, where RL is included, is interesting to me. I want the model to learn the knowledge (CPT), use the right tools for retrieval and getting things done (RL), and present a good answer (~SFT, or these days…
Let me try to explain why I don't really like RAG. But before I start, I want to say, RAG is a pretty useful tool and can address 95+% of the use cases, especially now that contexts are quite long and with newer techniques like agentic RAG. So the following text is mostly for…
Let me try to explain why I don't really like RAG. But before I start, I want to say, RAG is a pretty useful tool and can address 95+% of the use cases, especially now that contexts are quite long and with newer techniques like agentic RAG. So the following text is mostly for…
which one of you did this
which one of you did this https://t.co/4hzltHNSiq
It's kind of crazy to know that Infosys is a very early investor in OpenAI.
Here's the codebase of our product which has a lot of good impact, but also some terrible issues. Can you please fix the issues? Proceeds to go and delete the codebase.
Mahesh Sathiamoorthy retweeted
Small models as the new frontier and why this may be academia's LLM moment Academia should reject the nihilism of "scale is all you need", i.e, that meaningful research requires frontier scale compute. This mindset hurts basic research and what we can contribute to machine…
Feel so bad for those who are on H1B. So much uncertainty and stress :(
> be Amazon > invent Amazon Mechanical Turk > drop the ball
People were stupid back in the day
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