S
sgpt
Muennighoff/sgpt
SGPT: GPT Sentence Embeddings for Semantic Search
★872stars
Jupyter Notebook
MIT
Updated: 3d ago
📋 Project at a Glance
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What's this?A , built with Jupyter Notebook open-source project in the Models category, core strengths: gpt/information-retrieval
Who made it?Maintained by Muennighoff team, 872⭐ on GitHub, #1245 out of 3201 in Models
Why does it exist?With the growing demand for gpt and information-retrieval in Models, Muennighoff created sgpt as a streamlined solution.
What can it do?Key use cases: language-model, large-language-models, neural-search
How to install with AI?Use an AI coding assistant to follow the README and automatically handle the install and environment setup.
🔗 github.com/Muennighoff/sgpt | 官网 https://arxiv.org/abs/2202.08904
🔗 github.com/Muennighoff/sgpt | 官网 https://arxiv.org/abs/2202.08904
Topics
gptinformation-retrievallanguage-modellarge-language-modelsneural-searchretrievalsemantic-searchsentence-embeddingssgpttext-embedding