- 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
youtube_demos's Introduction
youtube_demos's People
Forkers
octag0no xargs007 allwavemedia goyanx travispruitt jan-karsten-kuhnke codeaudit mdwoicke venkat22 wesley7137 chattylab janss-en tangtc1981 cycloner2020 mostrub dolife clouddevstudios karlocamus86 ianmenethil lrsaturnino ilyamk markandayan1518 supermalinge taner45 rhm2k mivanovitch macosx2new gaybro8777 drzuzzjen thorstone137 alexisgaro927 cocobeach yacineali74 tonywhite11 henri-edh mengjin001 slopesweb kromian tuantranf dependify ai-agents-team decentralised-ai fagnermourafeitosa gaborkukucska wenliangz bwcummings1 yeswici wgong ikmyungterran jeanmarie110 devopssii zook111 baroni7777 bittush8789 atzamis clic-ethiopia alexgithubusername kuntal-cyoutube_demos's Issues
Local LLM and Autogen
Hello Everyone !
Did you try to make it run on a local Setup ?
I tried by replacing the Configlist by a local one
#create the Configuration of your environnement
config_list = [
{
"api_type": "open_ai",
"api_base": "http://localhost:1234/v1",
"api_key": "NULL",
},
]
and replacing all the gpt4_config instance by llm_config=llm_config, .
I am having api issue. not surprising... but i was wondering if you already made it run with a local LLM and if you had any tips if so?
Thanks ! Discovered Panel trhough your video btw :)
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