OpenAI's NEW 256-d Embeddings vs. Ada 002
Semantic Search
Topic
Vector Similarity Search
Technique
Vector Search
Technique
Pinecone
Tool
AI Agents
Vertical
Semantic Router
Tool
OpenAI Embeddings
Tool
Data Scientist
Role
Developers
Audience
Intermediate
Level
AI Course
Format
Python
Tool
Similarity Search
Technique
OpenAI
Company
In this video, I'm testing OpenAI's new text-embedding-3-large 256-d embeddings against text-embedding-ada-002 — the results are impressive, to say the least. 📌 Code: https://github.com/aurelio-labs/semantic-router/blob/main/docs/encoders/openai-embed-3.ipynb 👋🏼 AI Consulting: https://aurelio.ai 👾 Discord: https://discord.gg/c5QtDB9RAP Twitter: https://twitter.com/jamescalam LinkedIn: https://www.linkedin.com/in/jamescalam/ 00:00 OpenAI Embed 3 256 dimensions 01:05 Code setup 04:34 Optimizing text-embedding-3-large 08:45 Embed 3 vs Ada 002 11:00 Embed 3 with 256-d beats Ada 002 #openai #ai #artificialintelligence #nlp
