OpenAI Alternatives: Cohere Embed v3 and Open Source

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James Briggs Open on YouTube ↗
Hugging Face Company Semantic Search Topic Vector Similarity Search Technique Vector Search Technique Retrieval Augmented Generation Technique OpenAI Company AI Entrepreneur Audience Python Tool Transformer Architecture Technique Similarity Search Technique Embedding Model Model Cohere Company Open Source RAG Topic Natural Language Processing Vertical
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A look at a few of the best retrieval models for Retrieval Augmented Generation (RAG) and how we use them. Covering OpenAI's text-embedding-ada-002, Cohere's new Embed v3, and a small but strong performing open source model called e5-base-v2. 📌 Code: https://github.com/pinecone-io/examples/tree/master/learn/search/semantic-search/2311-embedding-examples 🌲 Subscribe for Latest Articles and Videos: https://www.pinecone.io/newsletter-signup/ 👋🏼 AI Dev: https://aurelio.ai 👾 Discord: https://discord.gg/c5QtDB9RAP Twitter: https://twitter.com/jamescalam LinkedIn: https://www.linkedin.com/in/jamescalam/ #artificialintelligence #nlp #openai #ai 00:45 MTEB Leaderboards 01:46 Starting with OpenAI, Cohere, and e5 04:35 Inference Speeds 06:06 Querying with Different Models 08:05 Results between models 09:35 Ada 002 vs Cohere v3 10:29 Another test for OpenAI, Cohere, and E5 15:23 More Questions and Final Thoughts

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Makers residency 4th edition
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