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.
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
Who is this DataHour for?
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
About the Speaker
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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