人工智能基础知识笔记二十六:常用的LLM的网站

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/

https://chat.lmsys.org/

Opensource with Web Interface:

https://huggingface.co/chat/

https://groq.com/

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

https://voyager.minedojo.org/

https://flowiseai.com/

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/

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