Episode Details

Back to Episodes
Jasper and Stella: Distilling State-of-the-Art Embedding Models

Jasper and Stella: Distilling State-of-the-Art Embedding Models

Published 1 year, 5 months ago
Description

Jasper and Stella are state-of-the-art embedding models developed to address challenges in dense retrieval for applications like FAQ systems and Retrieval-Augmented Generation (RAG). The Jasper model, built upon the Stella embedding model, achieved the No. 3 position on the Massive Text Embedding Benchmark (MTEB) leaderboard as of December 24, 2024, with an average score of 71.54 across 56 datasets

Listen Now

Love PodBriefly?

If you like Podbriefly.com, please consider donating to support the ongoing development.

Support Us