- superagent.py - https://youtu.be/vzh6b1N1914
- autogen_test.py - https://youtu.be/-m7wHrOD1o8
- stepback.py - https://youtu.be/N6GghInVajE
- panel_autogen.py panel_test.py - https://youtu.be/mFmPDyLlj1E
- panel_autogen_2.py - https://youtu.be/9lSaRP9GLCY - Create Full Function UI for AutoGen Powered by Panel (Human Input Enabled)
- rag_autogen_panel.py - https://youtu.be/98Ri4VVBP_8 - AutoGen + Panel Ep.3 - Web UI for Multi-agent with Document Retrieval
- autogen_fireworks.py - https://youtu.be/HN96PTdiseo - Use Open Source LLMs in AutoGen powered by Fireworks AI, without GPU/CPU
- autogen_descriptions/ - https://youtu.be/2YACB_N2bI8 - AutoGen - Use Description Field to Manage the Conversation Between Multiple Agents
- CrewAI/ - https://youtu.be/tKYr0fgkSPo - CrewAI - A Smartly Designed Multi-agent Framework for LLM App Development
- OpenRouter/ - https://youtu.be/opR3LozV3NM - OpenRouter - Use The LLM Inference API with the Lowest Cost
- Mixtral_of_aqlm_transformers.ipynb - https://youtu.be/Qx8PNk4OkUA - How to Run Mixtral-8x7B on Free-tier Colab by Using an Insane 2-bit Quantization
- autogen_openrouter_gemma.ipynb - https://youtu.be/L7ABsqsPN_A - Is Gemma Capable of Building Multi-agent Applications in AutoGen?
- autogen_ollama_gemma.ipynb - https://youtu.be/bkBOuBxsxeM - AutoGen + Ollama + Gemma: How to Create LLM Agents Locally
- AutoGen_Gemma_CustomModel/ - https://youtu.be/H0h78EBzz0o - AutoGen + Custom Model + Gemma (or Any Model), Here is the Ultimate Solution
- Voice_assistant_groq/ - https://youtu.be/YeB3DOeEC3I - Best Groq Practice - Making a Voice Assistant with Human Reaction Speed