OpenAI has introduced new advancements in its AI models, including the release of truncatable Matryoshka Embeddings and the GPT-4 Turbo-Preview Model. The Matryoshka Embeddings allow users to utilize portions of the 2048-dimensional vector for representation learning. Additionally, OpenAI has launched new embedding models, text-embedding-3-small and large, aimed at improving data retrieval. These models have been tested on 11 code retrieval datasets and 9 industry-domain datasets, showing that OpenAI's version 3 embeddings outperform previous versions like ada-002 and competitors such as cohere, with the exception of v3-small on code datasets. The voyage-code-2 model, however, has demonstrated superior performance with a significant margin on code and industry documents, with + 14% margin on code and + 3% on industry docs. Content creators are exploring these new models, with tutorials and videos being shared on platforms like YouTube to assist in implementation.
Good data is all you need - Path to an open-source GPT-4 class model! Two things dictate the performance of an LLM - compute and data! When it comes to data, quantity matters, but quality matters even more.... I am always super excited to see open-source AI labs releasing… https://t.co/7fpvQKwmsF
OpenAI recently released a new embedding model Check out @mesudarshan's awesome new video on how to use them as part of LangChain! https://t.co/oxgXNoDelf
✨ OpenAI V3 Embeddings with LangChain ✨ Just uploaded a video about new @OpenAI embeddings model and how to easily implement it with @LangChainAI Youtube: https://t.co/tF7OCS0Gy0 #langchain #openai #llm #embeddingsmodel #ai https://t.co/LlQGbLrF8M
OpenAI’s embedding v3 were out 🎉! Curious about its quality? We tested on 11 code retrieval datasets & 9 industry-domain datasets: 1. @OpenAI v3 > ada-002 & cohere (except v3-small on code) 2. voyage-code-2 is the best with + 14% margin on code & + 3% on industry docs 🚀 https://t.co/IvMPgrLIl5 https://t.co/CWV6eDQtCr
🌟 New models available in Stack AI! Meet OpenAI's GPT-4 Turbo-Preview Model (i.e., gpt-4-0125-preview) for improved performance. OpenAI's new embedding models also available (i.e., text-embedding-3-small and large) for improved data retrieval. #GenAI #LLM #NoCode https://t.co/9G0YXKqqRZ
An Overview of OpenAI's New Truncatable - Matryoshka Embeddings🪆 OpenAI recently announced embeddings that you can simply use chunks of (say the first 8, 16, 32, 64, 128 or 256 ... dimensions of the total 2048d vector) they use Matryoshka representation learning(MRL). This is… https://t.co/srsEF2DjzN