Multimodal Embeddings and Search with Embed-Anything

Multimodal Embeddings and Search with Embed-Anything

27 May 202413:05pm - 27 May 202414:05pm

Multimodal Embeddings and Search with Embed-Anything

About the Event

What is multimodality? What are self-supervised and metric learning, and how do they enable vector search? These are the most frequently asked questions in generative AI. Embed-Anything is a powerful Python library for creating local and multimodal embeddings and storing them in a vector database to enable large-scale multimodal search. We will have a walkthrough demo and understand why Embed-Anything uses Candle by hugging faces to run models locally.
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Who is this DataHour for?

  1. Best articles get published on Analytics Vidhya’s Blog Space
  2. Best articles get published on Analytics Vidhya’s Blog Space
  3. Best articles get published on Analytics Vidhya’s Blog Space

About the Speaker

Sonam Pankaj

Sonam Pankaj

Co-Creator at Starlight

Sonam is the co-creator of Starlight and maintainer of Embed-Anything. Previously, she worked at Qdrant in vector database and at Rasa in conversational AI. She also worked as an AI researcher in clinical trials at Saama Technology. She has published a paper in the most reputed journal in NLP at Coling: International Conference for Computational Linguistics. She loves to help people in this fast-paced, generative AI space and has delivered talks at multiple international conferences.

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