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>if you feed it a manual it will learn to recite the manual, it wont learn how to perform the actions in the manual. This claim doesn't track with LLM-based ag
by hackinthebochs 3y ago
>if you feed it a manual it will learn to recite the manual, it wont learn how to perform the actions in the manual.
This claim doesn't track with LLM-based agents. For example: https://towardsai.net/p/machine-learning/meet-webagent-deepminds-new-llm-that-follows-instructions-and-complete-tasks-on-websites https://towardsai.net/p/machine-learning/meet-webagent-deepm...
- Jensson 3y agoThe whole topic is about training time, not the tokens you feed it during runtime. Don't think that it can reason about the stuff it was trained on the same way it can reason about tokens you give it. They can't. Any arguments based on what they can do with runtime token input are therefore not relevant.
- hackinthebochs 3y agoYour objection is getting less and less clear. The issue is the LLM's capabilities at runtime given that it was trained to predict tokens. LLM agents demonstrate that such a training regime induces a system that can capably follow instructions. Nothing you've said is counter to this.