I wanted to make this post so we can share all the resources we have with each other on anything machine learning related.
Please feel free to add all of your resources as well even if they are duplicates.
PS: The best way to grow a lemmy community is to produce high quality posts.
Some ideas of things you could share:
- What people do you follow for AI? Such as on YT, Twitter, etc.
- What other social media forums provide great information?
- What GUI do you use for local LLMs?
- What parameters are “best”?
- Is there a Wiki you use?
- Where do you go to learn about LLMs/AI/Machine Learning?
- How do you find quality models?
- What Awesome github repositories do you know?
- What do you think would be useful to share?
General Information - Awesome
- Awesome-LLM: https://github.com/Hannibal046/Awesome-LLM
- Awesome Jailbreaks: https://github.com/0xk1h0/ChatGPT_DAN
- Awesome Prompts: https://github.com/f/awesome-chatgpt-prompts
- Prompt-Engineering-Guide: https://github.com/dair-ai/Prompt-Engineering-Guide
- AI Explained (Great channel for AI news): https://piped.video/channel/UCNJ1Ymd5yFuUPtn21xtRbbw
- Lex Fridman (In depth podcasts): https://piped.video/channel/UCSHZKyawb77ixDdsGog4iWA
LLM Leaderboards:
- LLM Logic Tests: https://docs.google.com/spreadsheets/d/1NgHDxbVWJFolq8bLvLkuPWKC7i_R6I6W/edit#gid=2011456595
- llm-leaderboard: https://github.com/LudwigStumpp/llm-leaderboard
- Chat leaderboard: https://chat.lmsys.org/?leaderboard
- Gotzmann LLM Score v2.4: https://docs.google.com/spreadsheets/d/1ikqqIaptv2P4_15Ytzro46YysCldKY7Ub2wcX5H1jCQ/edit#gid=0
- LLM Worksheet: https://docs.google.com/spreadsheets/d/1kT4or6b0Fedd-W_jMwYpb63e1ZR3aePczz3zlbJW-Y4/edit#gid=0
- CanAiCode Leaderboard: https://huggingface.co/spaces/mike-ravkine/can-ai-code-results
- AlpacaEval Leaderboard https://tatsu-lab.github.io/alpaca_eval/
- Measuring Massive Multitask Language Understanding: https://github.com/hendrycks/test
- Awesome-LLM-Benchmark: https://github.com/SihyeongPark/Awesome-LLM-Benchmark
Places to Find Models
- Discovery the LLMs: https://llm.extractum.io/
- Open LLM Models List: https://github.com/underlines/awesome-marketing-datascience/blob/master/llm-model-list.md
- OSS_LLMs: https://docs.google.com/spreadsheets/d/1PtrPwDV8Wcdhzh-N_Siaofc2R6TImebnFvv0GuCCzdo/edit#gid=0
- OpenLLaMA: An Open Reproduction of LLaMA: https://github.com/openlm-research/open_llama
- open-llms: https://github.com/eugeneyan/open-llms
Training & Datasets
- Uncensored Models: https://erichartford.com/uncensored-models
- LLMsPracticalGuide: https://github.com/Mooler0410/LLMsPracticalGuide
- awesome-chatgpt-dataset: https://github.com/voidful/awesome-chatgpt-dataset
- awesome-instruction-dataset: https://github.com/yaodongC/awesome-instruction-dataset
There are still many more resources out there I’m sure. Please share what you use to try to keep up with the fast pace of AI development.
I hope some of my resources have helped you! I’m eager to hear what other resources are out there!
No problem glad to share these resources! And sure, feel free to pin it.
Went ahead and consolidated this resource to the main LLM Guide.
I will do another post later this week answering your initial questions!
Thank you!