This post discussed the same trend as the Sutton post, but is more concrete and down-to-earth.
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This post discussed the same trend as the Sutton post, but is more concrete and down-to-earth.
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https://ysymyth.github.io/The-Second-Half/
https://ysymyth.github.io/The-Second-Half/
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Two takeaways for me. (1) deep neural network is the backbone to unify everything. RLHF will stand the test of time because it brings two distinct fields (NLP and RL) onto the same model weights. (2) language model will continue to play a central role in the era of agent. It probably won't be the end game to AGI, but definitely not offramp.
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Two takeaways for me. (1) deep neural network is the backbone to unify everything. RLHF will stand the test of time because it brings two distinct fields (NLP and RL) onto the same model weights. (2) language model will continue to play a central role in the era of agent. It probably won't be the end game to AGI, but definitely not offramp.
This post discussed the same trend as the Sutton post, but is more concrete and down-to-earth.

https://ysymyth.github.io/The-Second-Half/

Two takeaways for me. (1) deep neural network is the backbone to unify everything. RLHF will stand the test of time because it brings two distinct fields (NLP and RL) onto the same model weights. (2) language model will continue to play a central role in the era of agent. It probably won't be the end game to AGI, but definitely not offramp.
👀
John6666