Pearl: A Production-Ready Reinforcement Learning Agent
1–10 of 10 posts
Re: Pearl: A Production-Ready Reinforcement Learning Agent
#2Sorry for the dumb question, but can someone ELI5 what one is supposed to do with this? How does it fit into the world of fine-tuning, function calling, etc?
Re: Pearl: A Production-Ready Reinforcement Learning Agent
#3They missed spelling it 'perla' on purpose?
Re: Pearl: A Production-Ready Reinforcement Learning Agent
#4unwise name
Re: Pearl: A Production-Ready Reinforcement Learning Agent
#5> prioritize cumulative long-term feedback over immediate feedback and can adapt to environments with limited observability, sparse feedback, and high stochasticity
Sounds like something that could learn to play decent poker.
Re: Pearl: A Production-Ready Reinforcement Learning Agent
#6Sorry for the dumb question, but can someone ELI5 what one is supposed to do with this? How does it fit into the world of fine-tuning, function calling, etc?
Reinforcement learning is not LLM. It's the technology that is used in industrial applications (walking, acting robots, etc) and game playing (e.g. AlphaGo to play Go, AlphaChess, etc.)
Re: Pearl: A Production-Ready Reinforcement Learning Agent
#7They missed spelling it 'perla' on purpose?
or Prrl
Re: Pearl: A Production-Ready Reinforcement Learning Agent
#8Sorry for the dumb question, but can someone ELI5 what one is supposed to do with this? How does it fit into the world of fine-tuning, function calling, etc?
This is not a LLM.
This is an AI in maybe the more traditional/popsci sense. A digital robot. It not just understands its perceptions (like an LLM), but it acts on that understanding to achieve its goal(s).
The reinforcement learning aspect is simply how it learns its goals. It takes a database of "good bot" / "bad bot" feedback and associated context, and implicitly learns what it should do.
Re: Pearl: A Production-Ready Reinforcement Learning Agent
#9Sorry for the dumb question, but can someone ELI5 what one is supposed to do with this? How does it fit into the world of fine-tuning, function calling, etc?
This is not a LLM. This is an AI in maybe the more traditional/popsci sense. A digital robot. It not just understands its perceptions (like an LLM), but it acts on that understanding to achieve its goal(s). The reinforcement learning aspect is simply how it learns its goals. It takes a database of "good bot" / "bad bot" feedback and associated context, and implicitly learns what it should do.
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Re: Pearl: A Production-Ready Reinforcement Learning Agent
#10They missed spelling it 'perla' on purpose?
I'm guessing it's named after Judea Pearl.