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Geralt-Targaryen  updated a collection about 3 hours ago
codefuse-papers
Geralt-Targaryen  authored a paper 2 days ago
Reinforcement Learning with Semantic Rewards Enables Low-Resource Language Expansion without Alignment Tax
Geralt-Targaryen  authored a paper 2 days ago
ML-Embed: Inclusive and Efficient Embeddings for a Multilingual World
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Papers

ML-Embed: Inclusive and Efficient Embeddings for a Multilingual World

TingIS: Real-time Risk Event Discovery from Noisy Customer Incidents at Enterprise Scale

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Hello World! This is CodeFuse!

CodeFuse aims to develop Code Large Language Models (Code LLMs) to support and enhance full-lifecycle AI native sotware developing, covering crucial stages such as design requirements, coding, testing, building, deployment, operations, and insight analysis;

We are passionating about creating innovative open-source solutions that empower developers throughout the software development process as shown above. We also encourage engineers and researchers within this community to join us in co-constructing/improving CodeFuse.

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