Comment by Neywiny
1 day ago
This is what I've been saying for years. I attended a tech demo of an AI assistant for a car's owners' manual. But they trained the manual into the model. Which means not only does it need retraining every edition, but it's imperfect. The models need to be trained to fetch and use documentation not vaguely recall infinitely many concepts. I would much rather have 27B parameters on how to code than 26B on stuff like numpy function listings. It's like they approached the problem from a closed notes hand written coding exam. Everyone hates those.
What years? Agentic systems, and memory alongside them are roughly only year old.
You’re confusing, I think, memory system with llm finetuning. Completely different concepts.
No I'm saying this entire problem approach, including memory system of agents, is incorrect. Like the author argues. With the same solution of moving the ground truths outside of the model/context.