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Embeddings (and how to create them) are, perhaps, the most interesting idea behind Large Language Models. I built a simple model to help you understand embeddings from scratch. Here is a step-by-step video explanation:

Santiago

438,377 subscribers

44,107 просмотров • 1 год назад •via X (Twitter)

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Комментарии: 10

Фото профиля Santiago

Santiago1 год назад

Here is the same video, but now on YouTube: And here is the code I used in the video:

Фото профиля Matt Figdore

Matt Figdore2 лет назад

This is the biggest productivity cheat code right now. Kiss reading documents goodbye. You can get an instant summary of any document with this tool.

Фото профиля Joao Marcos

Joao Marcos1 год назад

@PLynchado

Фото профиля Sumanth

Sumanth1 год назад

Impressive work Santiago. Thanks for the detailed tutorial!

Фото профиля Mohd Shadab Khan

Mohd Shadab Khan1 год назад

How do embeddings improve AI’s reasoning? Can this method work beyond text, like for images/videos?

Фото профиля Santiago

Santiago1 год назад

Yes, this works for images/videos. In fact, in this example, I create embeddings for images.

Фото профиля Foreign Policy Expert

Foreign Policy Expert1 год назад

Do embeddings matter as much anymore? We’ve got smolagents, better instruct models, and bigger contexts that allow for better hierarchical search and broader contextual understanding? Embedding search is cheaper, sure, but if the docs change over time don’t the embeddings “fail”

Фото профиля Ray | AI marketer - Social Media Assistant

Ray | AI marketer - Social Media Assistant1 год назад

How do you see embeddings improving the efficiency of your model? They can really help in capturing semantic relationships, which is crucial for better understanding context in AI.

Фото профиля Uncle Drei

Uncle Drei1 год назад

@memdotai meme this

Фото профиля scuzzlebot

scuzzlebot1 год назад

Great educational content on embeddings! These fundamental concepts are crucial for understanding how modern AI systems work. Looking forward to the video explanation.

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