Linking pages
- GitHub - oscinis-com/Awesome-LLM-Productization: Awesome-LLM-Productization: a curated list of tools/tricks/news/regulations about AI and Large Language Model (LLM) productization https://github.com/oscinis-com/Awesome-LLM-Productization 1 comment
- GitHub - nlpfromscratch/nlp-llms-resources: Master list of curated resources on NLP and LLMs https://github.com/nlpfromscratch/nlp-llms-resources 0 comments
Linked pages
- Free eBooks | Project Gutenberg https://gutenberg.org 2028 comments
- GitHub - yandex/YaLM-100B: Pretrained language model with 100B parameters https://github.com/yandex/YaLM-100B 902 comments
- TensorFlow http://tensorflow.org/ 440 comments
- [2205.01068] OPT: Open Pre-trained Transformer Language Models https://arxiv.org/abs/2205.01068 318 comments
- Stanford CRFM https://crfm.stanford.edu/2023/03/13/alpaca.html 298 comments
- [2303.17580] HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in HuggingFace https://arxiv.org/abs/2303.17580 295 comments
- The Pile http://pile.eleuther.ai/ 294 comments
- [2304.03442] Generative Agents: Interactive Simulacra of Human Behavior https://arxiv.org/abs/2304.03442 276 comments
- [2005.14165] Language Models are Few-Shot Learners https://arxiv.org/abs/2005.14165 201 comments
- [2303.11366] Reflexion: an autonomous agent with dynamic memory and self-reflection https://arxiv.org/abs/2303.11366 189 comments
- The End of Programming | January 2023 | Communications of the ACM https://cacm.acm.org/magazines/2023/1/267976-the-end-of-programming/fulltext 174 comments
- Vicuna: An Open-Source Chatbot Impressing GPT-4 with 90%* ChatGPT Quality | by the Team with members from UC Berkeley, CMU, Stanford, and UC San Diego https://vicuna.lmsys.org/ 168 comments
- [2305.06161] StarCoder: may the source be with you! https://arxiv.org/abs/2305.06161 162 comments
- GitHub - microsoft/LoRA: Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models" https://github.com/microsoft/LoRA 156 comments
- [2302.04761] Toolformer: Language Models Can Teach Themselves to Use Tools https://arxiv.org/abs/2302.04761 153 comments
- [2305.14314] QLoRA: Efficient Finetuning of Quantized LLMs https://arxiv.org/abs/2305.14314 129 comments
- PyTorch http://pytorch.org/ 100 comments
- GitHub - google/jax: Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more https://github.com/google/jax 99 comments
- BigQuery public datasets | Google Cloud https://cloud.google.com/bigquery/public-data/ 93 comments
- Common Crawl https://commoncrawl.org/ 85 comments
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