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✨✨Latest Advances on Multimodal Large Language Models
ChatGLM3 series: Open Bilingual Chat LLMs | 开源双语对话语言模型
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
Efficiently Fine-Tune 100+ LLMs in WebUI (ACL 2024)
📋 A list of open LLMs available for commercial use.
An optimized deep prompt tuning strategy comparable to fine-tuning across scales and tasks
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets
Pytorch implementation of various Knowledge Distillation (KD) methods.
Awesome Knowledge Distillation
A framework for prompt tuning using Intent-based Prompt Calibration
Quickly fetch your WiFi password and if needed, generate a QR code of your WiFi to allow phones to easily connect
Benchmark ClassEval for class-level code generation.
APPS: Automated Programming Progress Standard (NeurIPS 2021)
Toolkit for creating, sharing and using natural language prompts.
Code for the paper "Evaluating Large Language Models Trained on Code"
Rigourous evaluation of LLM-synthesized code - NeurIPS 2023
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
Industrial-level evaluation benchmarks for Coding LLMs in the full life-cycle of AI native software developing.企业级代码大模型评测体系,持续开放中
[TOSEM 2023] A Survey of Learning-based Automated Program Repair
这个资源库包含了为 Prompt 工程手工整理的资源中文清单,重点是生成性预训练变换器(GPT)、ChatGPT、PaLM 等(自动持续更新)
🐙 关于提示词工程(prompt)的指南、论文、讲座、笔记本和资源大全(自动持续更新)
Typora V1.6.7 Typora Crack Typora破解 Typora 激活 Typora activation MD Markdown editor 激活
CodeGeeX2: A More Powerful Multilingual Code Generation Model
.NET Decompiler with support for PDB generation, ReadyToRun, Metadata (&more) - cross-platform!
Use ChatGPT to summarize the arXiv papers. 全流程加速科研,利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复
For calculating Shapley values via linear regression.
Compute SHAP values for your tree-based models using the TreeSHAP algorithm