From c855f388787e9caa1266e4e8023c89cbd19f8ee3 Mon Sep 17 00:00:00 2001 From: Ji Date: Fri, 31 Mar 2023 23:35:56 -0700 Subject: [PATCH] add comparison benchmark for embedding models Massive Text Embedding Benchmark (MTEB) Leaderboard: https://huggingface.co/spaces/mteb/leaderboard --- text_comparison_examples.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/text_comparison_examples.md b/text_comparison_examples.md index 5ed1842..6f1d112 100644 --- a/text_comparison_examples.md +++ b/text_comparison_examples.md @@ -11,6 +11,8 @@ For more information, read OpenAI's blog post announcements: * [Introducing Text and Code Embeddings (Jan 2022)](https://openai.com/blog/introducing-text-and-code-embeddings/) * [New and Improved Embedding Model (Dec 2022)](https://openai.com/blog/new-and-improved-embedding-model/) +For comparison with other embedding models, see [Massive Text Embedding Benchmark (MTEB) Leaderboard](https://huggingface.co/spaces/mteb/leaderboard) + ## Semantic search Embeddings can be used for search either by themselves or as a feature in a larger system.