Multimodal Embeddings: Introduction & Use Cases (with Python)

[@ShawhinTalebi]

Here's the 2nd video in the series on Multimodal AI! Check out the references and more resources in the description :)

[@hamzawi2752]

I spent around an hour looking for different people explaining CLIP. Your explanation is the best because it is very detailed. Thank you so much for your huge effort to publish such an invaluable video.

[@ShawhinTalebi]

Glad it helped!

[@hamzawi2752]

@ShawhinTalebi please try to explain other big models like SAM2 and popular VLMs.

[@SnowyMango]

This was the best visualization and explanation of Contrastive Learning for MM embeddings I’ve seen. Thank you.

[@ShawhinTalebi]

Thanks.. I'm glad it was clear!

[@VISHNUVARDHANRAO-s7r]

This video got recommended in my feed exactly to the requirement of my project. Great stuff and keep going!!

[@ShawhinTalebi]

Glad it was helpful :)

[@rupeshkumarsingh7065]

Thank you for making this concept look so easy.

[@servatechtips]

It is an amazing video with a nice explanation, amazing examples, and code. Good job, @Shaw Talebi, I'm looking forward to the next video and others more and more

[@luisleal4169]

excelent video!

[@Akrv0023]

Hi, Could you please do video on ML-OPS & LLM-OPS. with Databricks + Azure Devops / github or relevant one.

[@ShawhinTalebi]

Thanks for the great suggestions! Unfortunately I have no experience with Databricks or Azure 😅.
I did host a recent workshop with Paul Iusztin who shares a ton of free content on MLOps: th-cam.com/users/live6WmPfKPmoz0?si=F_ySA8tamyLFBW31