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 ...

Sometimes plunging in headfirst and barehanded is just the most efficient way to nab the nuisance lizard, says Mike Kimmel, ...

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 ...

Get up and running with routes, views, and templates in Python’s most popular web framework, including new features found ...

Unlike typical AI tools, NotebookLM is designed to help you interact with sources you upload to notebooks. This means the best way to use NotebookLM efficiently is by populating your notebooks with ...