I’m convinced that people who are interested in large language models (LLMs) are overwhelmingly focused on general-purpose “performance” at the expense of exploring useful (or fun) applications.

As I’m working on a personal project, I’ve been learning my way around HuggingFace, which is a hosting platform, set of libraries, and almost-social-network for the open-source AI community. It's fascinating, and worth exploring even if you’re not going to be developing foundation models from scratch yourself; if you simply want to use the latest models, build apps around them, or adapt them slightly to your own purposes, HuggingFace seems like the clear place to go.

You can look at trending models, and trending public “spaces”, aka cloud-hosted instances of models that users can test out, and get a sense of where the “energy” is. And what I see is that almost all the “energy” [...]

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Outline:

(02:46) A Personalized Information Environment

(03:50) Personalized Content Filter

(04:53) Color-Coded Text

(06:17) Fact Extraction

(07:31) Plain Language

(08:14) Dispute Resolution and Mediation

(09:19) AITA For Everything

(10:37) Chat Moderator

(12:28) Rethinking “Online”

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Narrated by TYPE III AUDIO.

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