Qwen
LLMSurvey
| Qwen | LLMSurvey | |
|---|---|---|
| 5 | 3 | |
| 11,187 | 8,902 | |
| 9.5% | 9.2% | |
| 9.4 | 7.9 | |
| 13 days ago | 4 months ago | |
| Python | Python | |
| Apache License 2.0 | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Qwen
LLMSurvey
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Ask HN: Textbook Regarding LLMs
Here’s another one - it’s older but has some interesting charts and graphs.
https://arxiv.org/abs/2303.18223
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Share your favorite materials: intersection of LLMs and business applications
There have recently been some some nice early surveys on progress, pitfalls, future research directions:
- A Survey of LLMs https://arxiv.org/abs/2303.18223
- A Survey of Large Language Models
What are some alternatives?
spacy-llm - 🦙 Integrating LLMs into structured NLP pipelines
ChatGLM2-6B - ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型
SqueezeLLM - [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization
mPLUG-Owl - mPLUG-Owl & mPLUG-Owl2: Modularized Multimodal Large Language Model
gsgen - [CVPR 2024] Text-to-3D using Gaussian Splatting
Chinese-LLaMA-Alpaca - 中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
OuterFlightTracker - A flight tracker made in 6 hours on a flight home from OuterNet
HugNLP - CIKM2023 Best Demo Paper Award. HugNLP is a unified and comprehensive NLP library based on HuggingFace Transformer. Please hugging for NLP now!😊
Baichuan-7B - A large-scale 7B pretraining language model developed by BaiChuan-Inc.
safe-rlhf - Safe RLHF: Constrained Value Alignment via Safe Reinforcement Learning from Human Feedback
Baichuan-13B - A 13B large language model developed by Baichuan Intelligent Technology
opening-up-chatgpt.github.io - Tracking instruction-tuned LLM openness. Paper: Liesenfeld, Andreas, Alianda Lopez, and Mark Dingemanse. 2023. “Opening up ChatGPT: Tracking Openness, Transparency, and Accountability in Instruction-Tuned Text Generators.” In Proceedings of the 5th International Conference on Conversational User Interfaces. doi:10.1145/3571884.3604316.