From be8a4011840e562d2bf20051ab245271a0b07a47 Mon Sep 17 00:00:00 2001 From: Mike Jang Date: Wed, 21 Feb 2024 06:01:55 -0800 Subject: [PATCH] Update qdrant-landing/content/blog/binary-quantization-openai.md --- qdrant-landing/content/blog/binary-quantization-openai.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/qdrant-landing/content/blog/binary-quantization-openai.md b/qdrant-landing/content/blog/binary-quantization-openai.md index cd4fa0ddd..c57104226 100644 --- a/qdrant-landing/content/blog/binary-quantization-openai.md +++ b/qdrant-landing/content/blog/binary-quantization-openai.md @@ -34,7 +34,7 @@ In this post, we discuss: As the technology of embedding models has advanced, demand has grown. Users are looking more for powerful and efficient text-embedding models. OpenAI's Ada-003 embeddings offer state-of-the-art performance on a wide range of NLP tasks, including those noted in [MTEB](https://huggingface.co/spaces/mteb/leaderboard) and [MIRACL](https://openai.com/blog/new-embedding-models-and-api-updates). -### Multi-lingual Support +### Multilingual Support OpenAI text-embedding-3-large is a multi-lingual model that can encode text in 100+ languages.