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This is the official implementation of the paper: EffiCoder: Unleashing Code Efficiency in Language Models
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
🔥 The most advanced open-source online code execution system in the world.
[NeurIPS 2024] Self-Optimization Improves the Efficiency of Code Generation
[EMNLP 2024] Code for the paper "ECCO: Can We Improve Model-Generated Code Efficiency Without Sacrificing Functional Correctness?"
[ICML'24] Magicoder: Empowering Code Generation with OSS-Instruct
A playbook for systematically maximizing the performance of deep learning models.
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C++ 资源大全中文版,标准库、Web应用框架、人工智能、数据库、图片处理、机器学习、日志、代码分析等。由「开源前哨」和「CPP开发者」微信公号团队维护更新。
分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.
Anthropic's educational courses
Free ChatGPT API Key,免费ChatGPT API,支持GPT4 API(免费),ChatGPT国内可用免费转发API,直连无需代理。可以搭配ChatBox等软件/插件使用,极大降低接口使用成本。国内即可无限制畅快聊天。
Fine-tuning ChatGLM-6B with PEFT | 基于 PEFT 的高效 ChatGLM 微调
A framework for the evaluation of autoregressive code generation language models.
Train transformer language models with reinforcement learning.
A comprehensive list of PAPERS, CODEBASES, and, DATASETS on Decision Making using Foundation Models including LLMs and VLMs.
[NeurIPS 2023] Large Language Models Are Semi-Parametric Reinforcement Learning Agents
Run evaluation on LLMs using human-eval benchmark
APPS: Automated Programming Progress Standard (NeurIPS 2021)
[ICLR 2024] SWE-bench: Can Language Models Resolve Real-world Github Issues?