The best Opensource LLM: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard
ChatBot Arena: https://huggingface.co/spaces/lmsys/chatbot-arena-leaderboard
Huggingface: https://huggingface.co/
Github: https://github.com/
Google Colab: https://colab.research.google.com/
Installation Node:https://nodejs.org/en
Installation Ollama:https://ollama.com/
Installation LM Studio:https://lmstudio.ai/
Anything LLM: https://useanything.com/
https://github.com/Mintplex-Labs/anything-llm/blob/master/README.md
LAAMA: https://ai.meta.com/llama/
Opensource with Web Interface:
http://huggingface.co/spacesllm-leaderboard/open-llm-leaderboard
Token:
https://platform.openai.com/tokenizer
https://help.openai.com/en/articles/4936856-what-are-tokens-and-how-to-count-them
RLHF: https://huggingface.co/blog/rlhf
Vision Examples from Microsoft: https://arxiv.org/pdf/2309.17421
Prompting:
https://www.promptingguide.ai/techniques/tot
https://learnprompting.org/docs/intro
RAG:
https://aws.amazon.com/de/what-is/retrieval-augmented-generation/
https://blogs.nvidia.com/blog/what-is-retrieval-augmented-generation/
https://research.ibm.com/blog/retrieval-augmented-generation-RAG
https://www.databricks.com/glossary/retrieval-augmented-generation-rag
PDFs for RAG: https://github.com/run-llama/llama_parse
Colab Notebook (Llama_parse): https://colab.research.google.com/drive/1P-XpCEt4QaLN7PQk-d1irliWBsVYMQl5?usp=sharing
Webseits for RAG: https://www.firecrawl.dev/
AI-Agents
https://botpress.com/blog/what-is-an-ai-agent
Flowise on Github: https://github.com/FlowiseAI/Flowise
TTS Colab: https://colab.research.google.com/drive/17xcyh-mFWye30WwNl7wIce1kzBFNMbcQ
Finetuning in Colab: ++++https://colab.research.google.com/drive/135ced7oHytdxu3N2DNe1Z0kqjyYIkDXp?usp=sharing#scrollTo=FqfebeAdT073++++
Opensource TTS: https://github.com/2noise/ChatTTS
Talk to a AI-Assistant: https://moshi.chat/?queue_id=talktomoshi
Papers:
https://arxiv.org/pdf/2307.02483
https://arxiv.org/pdf/2307.15043
https://arxiv.org/pdf/2306.13213
https://arxiv.org/pdf/2302.12173
https://arxiv.org/pdf/2305.00944
FInetuning Paper: https://arxiv.org/pdf/2405.05904v2
https://embracethered.com/blog/posts/2023/google-bard-data-exfiltration/