The chapter delves into recent developments in local offline AI and AI PCs, explaining terminology and discussing the types of models and optimizations that can be run locally. It highlights the increasing accessibility of AI models in software and the advancements in hardware capabilities supporting AI functions. The conversation covers Python libraries, optimization tools, and the importance of integrating local models with cloud models for specific purposes.

Get the Snipd
podcast app

Unlock the knowledge in podcasts with the podcast player of the future.
App store bannerPlay store banner

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode

Save any
moment

Hear something you like? Tap your headphones to save it with AI-generated key takeaways

Share
& Export

Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode