Werk:AI mit Arnie/Downloads & Links (KI-Agenten)

▶	Kurs KI-Agenten
📽️
🎓
Einweisung (KI-Agenten)
▲	Überblick
▶	Downloads
▼	Basics zu KI-Agenten & LLMs

PDF mit den wichtigsten Links: https://drive.google.com/file/d/13WY-JjhTISmBQKsZNs3VCN05SLmIUoRy/view?usp=drive_link

LINKS!

• VS Code:
  • https://code.visualstudio.com/
• Git:
  • https://git-scm.com/
• Code testen:
  • https://replit.com/~Huggingface:+https://huggingface.co/
• Github:
  • https://github.com/
• Installation Node:
  • https://nodejs.org/en
• Installation Ollama:
  • https://ollama.com/
• Das richtige LLM finden:
  • ChatBot Arena:
    • https://huggingface.co/spaces/lmsys/chatbot-arena-leaderboard
  • Das beste Opensource LLM:
    • https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard
  • OpenAI API:
    • https://platform.openai.com/playground
  • LLAMA:
    • https://ai.meta.com/llama/
• 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
• 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
  • Alloy:
    • https://github.com/svpino/alloy-voice-assistant
  • Flowise: https://flowiseai.com/
• Weitere Plattformen für KI-Agenten:
  • https://botpress.com/blog/what-is-an-ai-agent
  • https://voyager.minedojo.org/
  • https://botpress.com/de
  • https://www.voiceflow.com/
  • https://vectorshift.ai/
  • https://docs.vectorshift.ai/vectorshift
  • https://www.stack-ai.com/
  • https://www.langflow.org/
  • https://github.com/VRSEN/agency-swarm
  • https://www.crewai.com/
  • https://github.com/joaomdmoura/crewAI
  • https://microsoft.github.io/autogen/docs/tutorial
  • https://github.com/microsoft/autogen
  • https://www.langchain.com/
  • https://www.langflow.org/
• Hosten & Automatisierung:
  • Agenten hosten:
    • https://render.com/
  • Make:
    • https://www.make.com
• 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/