Some useful ressources

Benchmarks (LLMs, embedding…)

https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard

https://huggingface.co/spaces/mteb/leaderboard

https://dubesor.de/benchtable.html

https://huggingface.co/spaces/lmsys/chatbot-arena-leaderboard

https://gorilla.cs.berkeley.edu/leaderboard.html

https://dubesor.de/benchtable.html

Quantization articles

https://newsletter.maartengrootendorst.com/p/a-visual-guide-to-quantization?utm_source=profile&utm_medium=reader2

https://huggingface.co/blog/merve/quantization

Inference websites

https://www.together.ai/

https://replicate.com/

https://fireworks.ai/

Hosting LLMs

https://github.com/vllm-project/vllm

https://github.com/ollama/ollama

https://github.com/ggerganov/llama.cpp

https://github.com/microsoft/DeepSpeed

Fine Tuning tools

https://github.com/huggingface/peft

https://github.com/unslothai/unsloth

https://github.com/cloneofsimo/lora

https://github.com/pytorch/torchtune

https://github.com/axolotl-ai-cloud/axolotl

Nice blogs

https://gorilla.cs.berkeley.edu/

https://huggingface.co/blog

http://ai.stanford.edu/blog/

https://bair.berkeley.edu/blog/

https://www.linkedin.com/blog/engineering/ai

https://substack.com/@maartengrootendorst

https://www.sh-reya.com/blog

https://osanseviero.github.io/hackerllama/blog/

https://hamel.dev/

https://eugeneyan.com/

https://jxnl.co/writing/

Nice AI tools

https://supermaven.com/

http://cursor.sh/

https://jan.ai/