https://github.com/yeyu2/Youtube_demos

https://github.com/yeyu2/Youtube_demos

Last synced: 16 days ago
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• Host: GitHub
• URL: https://github.com/yeyu2/Youtube_demos
• Owner: yeyu2
• Created: 2023-10-12T03:41:01.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-11-25T15:44:47.000Z (18 days ago)
• Last Synced: 2024-11-25T16:38:36.212Z (18 days ago)
• Language: Jupyter Notebook
• Size: 455 KB
• Stars: 157
• Watchers: 8
• Forks: 66
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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• jimsghstars - yeyu2/Youtube_demos - (Jupyter Notebook)

README

        
# Youtube_demos

* 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

* CrewAI_Streamlit.py - https://youtu.be/gWrqfnTGtl8 - How to Implement a Simple UI for CrewAI applications

* crewai_panel.py - https://youtu.be/pODI1SWTVeo - How to Create an Interactive Web UI for CrewAI Applications By Panel

* AutoGen_API/ - https://youtu.be/4mO2TmDervU - How to Create APIs for AutoGen

* autogen_panel_image.py - https://youtu.be/2zNiRGE5TUM - How to Build an Image Creator Agent for the AutoGen Application

* mesop_autogen.py - https://youtu.be/Iv-XnbIMG2M - Create a Multi-Agent App with Mesop

* mesop_crewai.py - https://youtu.be/IE4AyrvC4yw - Use Mesop to Develop UI for CrewAI App

* llama_agents.py - https://youtu.be/4UvzuRS83yU - Exploring Llama-Agents with Code Walkthrough

* Instructor/ - https://youtu.be/LwdO7qwpujo - How to Make AutoGen Agents Always Generate Structured Data by Using Instructor

* Llama32/ - https://youtu.be/qFkMdOTD97w - How to Use Llama 3.2 to Create Vision Apps and Multimodal Agents in AutoGen

* Llama32_FunctionCall/ -https://youtu.be/aTPky3YiZJ0 - How to Implement Function Calling for Llama 3.2 1B/3B Lightweight Models

* AgentKit/ - https://youtu.be/QJkCdYKz5IY - Introducing AgentKit: A Lightweight, Easy-to-Learn Multi-Agent Framework

* swarm_panel.py - https://youtu.be/aQAtKzzrdlc - How to Build a Web UI for an OpenAI's Swarm Application

* Swarm_adv/ - https://youtu.be/joFHANtZs1I - Advanced Swarm Tutorial: RAG Agent, Orchestration and Web UI

* Llama32_TrainReason/ - https://youtu.be/pLCkeZudkUQ - How to Fine-tune the Llama 3.2 for Reasoning Capabilities at Lowest Cost

* CrewAI_Panel_Update/ - https://youtu.be/Rp4xO0XLfzU - (Updated) How to Create an Interactive Web UI for CrewAI Applications