The Fundamentals of Embeddings

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The way neural networks sort of operate and sort of talk to each other is through this language of embeddings. An LLM generates embeddings and based on those embeddings is able to condition how it produces out continuous continuations of your text. And that's the thing I think a lot of people are sort of missing. Every single piece of data in the world in the next five years will be run through an earlier or an embedding. It allows you to do much more richer interactions over your data. Everyone has tons of data nobody can search through. Well, you embed your data and you can have a computer manipulate submit,. You want to find all the pictures of dogs

In this episode, we discuss the impact of AI with Andriy Mulyar, co-founder of AtlasAI and creator of GPT4All. We explore how running local private language models can provide competitive benefits over using public models like ChatGPT without confidential data. Additionally, we delve into the importance of embeddings in AI and their potential impact on understanding data semantically. Finally, Andriy shares his thoughts on crypto/AI overlap, specifically focusing on data provenance as a key area for collaboration.

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