←back to thread

625 points lukebennett | 2 comments | | HN request time: 0.401s | source
1. sssilver ◴[] No.42142048[source]
One thing that makes the established AIs less ideal for my (programming) use-case is that the technologies I use quickly evolve past whatever the published models "learn".

On the other hand, a lot of these frameworks and languages have relatively decent and detailed documentation.

Perhaps this is a naive question, but why can't I as a user just purchase "AI software" that comes with a large pre-trained model to which I can say, on my own machine, "go read this documentation and help me write this app in this next version of Leptos", and it would augment its existing model with this new "knowledge".

replies(1): >>42144812 #
2. danielbln ◴[] No.42144812[source]
Pretraining or even post-training is cumbersome, complex and expensive. What is easy and cheap is in-context learning, which is why I just pull in the documentation I need the LLM to know about into the LLM's context.