Linking pages
- [Guest post] Edition 24: Pentesting LLM apps 101 https://boringappsec.substack.com/p/guest-post-edition-24-pentesting 1 comment
- GitHub - zhimin-z/awesome-awesome-machine-learning: A curated list of awesome curated lists of many topics closely related to machine learning. https://github.com/zhimin-z/awesome-awesome-machine-learning 0 comments
- 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
- GPT-4 https://openai.com/research/gpt-4 5744 comments
- Google "We Have No Moat, And Neither Does OpenAI" https://www.semianalysis.com/p/google-we-have-no-moat-and-neither 1571 comments
- What Is ChatGPT Doing … and Why Does It Work?—Stephen Wolfram Writings https://writings.stephenwolfram.com/2023/02/what-is-chatgpt-doing-and-why-does-it-work/ 986 comments
- GitHub - yandex/YaLM-100B: Pretrained language model with 100B parameters https://github.com/yandex/YaLM-100B 902 comments
- Stability AI Launches the First of its StableLM Suite of Language Models — Stability AI https://stability.ai/blog/stability-ai-launches-the-first-of-its-stablelm-suite-of-language-models 501 comments
- Opinion | Noam Chomsky: The False Promise of ChatGPT - The New York Times https://www.nytimes.com/2023/03/08/opinion/noam-chomsky-chatgpt-ai.html 371 comments
- GitHub - nomic-ai/gpt4all: gpt4all: a chatbot trained on a massive collection of clean assistant data including code, stories and dialogue https://github.com/nomic-ai/gpt4all 325 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
- Introducing ChatGPT https://openai.com/blog/chatgpt/ 296 comments
- The Pile http://pile.eleuther.ai/ 294 comments
- GitHub - antimatter15/alpaca.cpp: Locally run an Instruction-Tuned Chat-Style LLM https://github.com/antimatter15/alpaca.cpp 287 comments
- GitHub - ggerganov/llama.cpp: Port of Facebook's LLaMA model in C/C++ https://github.com/ggerganov/llama.cpp 286 comments
- https://ai.google/static/documents/palm2techreport.pdf 282 comments
- Cerebras-GPT: A Family of Open, Compute-efficient, Large Language Models - Cerebras https://www.cerebras.net/blog/cerebras-gpt-a-family-of-open-compute-efficient-large-language-models/ 234 comments
- Introducing LLaMA: A foundational, 65-billion-parameter language model https://ai.facebook.com/blog/large-language-model-llama-meta-ai/ 204 comments
- [2005.14165] Language Models are Few-Shot Learners https://arxiv.org/abs/2005.14165 201 comments
- How does GPT Obtain its Ability? Tracing Emergent Abilities of Language Models to their Sources https://yaofu.notion.site/How-does-GPT-Obtain-its-Ability-Tracing-Emergent-Abilities-of-Language-Models-to-their-Sources-b9a57ac0fcf74f30a1ab9e3e36fa1dc1 192 comments
- GitHub - BlinkDL/RWKV-LM: RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding. https://github.com/BlinkDL/RWKV-LM 179 comments
- Hello Dolly: Democratizing the magic of ChatGPT with open models https://www.databricks.com/blog/2023/03/24/hello-dolly-democratizing-magic-chatgpt-open-models.html 173 comments
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