Nov. 18, 2023, 3 p.m. | James Briggs

James Briggs www.youtube.com

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 …

ada articles code cohere dev discord embed embedding look openai open source open source model rag retrieval retrieval augmented generation small text them videos

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US