|
|
|
|
|
by cosmic_cheese
340 days ago
|
|
Additionally, LLMs still don’t truly understand anything, which is why they flounder so badly with e.g. writing code for a programming language or framework that it hasn’t seen a large enough set of training data for. Humans on the other hand do understand and generalize shared knowledge well, which is why we’re much better at handling that type of scenario. More specific to agents, humans can also figure out how to use tools on the fly (even in the absence of documentation) where LLMs need human-built MCPs. This is also a significant limiting factor. |
|