So far, running LLMs has required a large amount of computing resources, mainly GPUs. Running locally, a simple prompt with a typical LLM takes on an average Mac ...

Importing modules and calling top-level functions from them Passing multiple positional and keyword arguments Receiving return values, including nested lists and dicts Getting Python exceptions across ...

There's a lot to go through in this update, including adding agent sessions to chat and delegating work to them. However, ...