Werk:AI mit Arnie/Downloads & Links (Open-Source LLMs)

Einweisung (Open-Source LLMs)


▶	Kurs AI mit Arnie (KI-Revolution) Open-Source LLMs
📽️
🎓	Downloads & Links

▲	Überblick
▶	Downloads & Links
▼	Worum geht es in diesem Abschnitt

LINKS!

Das beste 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 mit Interface:
- https://huggingface.co/chat/
- https://groq.com/
Token:
- https://platform.openai.com/tokenizer
- https://help.openai.com/en/articles/4936856-what-are-tokens-and-how-to-count-them
Eine wichtige Lernmethode:
RLHF:
- https://huggingface.co/blog/rlhf
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 vorbereiten für RAG:
- https://github.com/run-llama/llama_parse
Colab Notebook (Llama_parse):
- https://colab.research.google.com/drive/1P-XpCEt4QaLN7PQk-d1irliWBsVYMQl5?usp=sharing
Webseiten vorbereiten für RAG:
- https://www.firecrawl.dev/
KI-Agenten
- https://botpress.com/blog/what-is-an-ai-agent
- https://voyager.minedojo.org/
- https://flowiseai.com/
Flowise auf 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
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
- https://embracethered.com/blog/posts/2023/google-bard-data-exfiltration/

Prompt Bibliotheken