Youtube_demos

engineering-skill/ - https://youtu.be/KFkf1w_hrfI - How to Build Software with AI Coding Agent Without Losing Control
auto-rag-optimizer/ - https://youtu.be/QzHlzg8ab-g - I Applied Karpathy's AutoResearch to My RAG Pipeline — It Doubled Its Score Overnight
dolphin-v2-test/ - https://youtu.be/Li7WsJzSNko - Dolphin v2: Free Alternative to Document Understanding APIs of Commercial Models
context-aware/ - https://youtu.be/zK6vWFmbkfA - How to Architect Context-Aware Multi-agents Using Google ADK with Practice
adk-graph/ - https://youtu.be/5YRfNhn3luI - Building a Real-time Graph-RAG Agent for Super-Fast Knowledge Search and Updates
adk-gemini3/ - https://youtu.be/3zGGC_uYjoE - How to Build Realtime Proactive Agents for Monitoring with ADK, Gemini 3 Pro and Live API
adk-rag/ - https://youtu.be/h4tuLuzSjbA - How to Build Realtime Voice RAG Agents with ADK and File Search
Workflow-builder/ - https://youtu.be/yAj4CwsWUBk - How to Create a No-Code Visual Workflow Builder for AI Agents
ADK-live-demo/ - https://youtu.be/bYPpKDEynIE - Use ADK to Build a Multi-Agent System with Live Voice and Rich Content Output
gemini_live_illustrate_nanobanana/ - https://youtu.be/er0XAeoBmFg - Upgrade Your Gemini Realtime Assistant with Live Illustrations Using Nano Banana
Livekit-dev/ - https://youtu.be/_0PcGMxw_Hs - How Easy to Build a Real-Time Multimodal AI Assistant with LiveKit
GeminiChrome/ - https://youtu.be/fkx8F57gWnc - Building a Gemini Powered Chrome Extension with Live Voice Assistant
Multimodal-local-phi4/ - https://youtu.be/-CJ-rsT-E9Q - Building a Realtime Multimodal App Locally Deployed with Phi-4 and Kokoro
gemini_api_update_042025/ - https://youtu.be/1eybCQYOJnY - Gemini Live API FINALLY Breaks Realtime Session Limits! - And Other Gemini's Important Updates
gemini20-longmem/ - https://youtu.be/MGHwe7j2TyI - Building a Gemini Realtime Learning Assistant with Long-Term Memory
Multimodal-server-gemma3 - https://youtu.be/h63p573nqOg - Clone the Gemini Multimodal Realtime App Locally with Gemma 3, Whisper, Kokoro
Multimodal-local-server - https://youtu.be/1vIqjQEFmjE - Build a Fully Local Multimodal Realtime App with Open Source Models
gemini20-android-serverless/ - https://youtu.be/1hxET1e2oo4 - How to Build a Serverless Android App with Real-time Streaming by Gemini 2.0 Multimodal Live API
gemini20_android/ - https://youtu.be/3hJSOM_K_hU - How to Build a Realtime Gemini 2.0 Mobile App for Voice Chat with Camera and Images
gemini20-rag/ - https://youtu.be/LPFdKgeGDNQ - Talk to Your Documents: Create a Real-Time RAG Assistant with Gemini 2.0 Multimodal Live API
gemini20-canvas/ - https://youtu.be/tbnmxmyWxhU - How to Build a Real-Time Gemini 2.0 Learning Assistant with an Interactive Canvas
gemini20-voicetext/ - https://youtu.be/nzP46fXz36c - Hot Update! Build a Realtime Screen Sharing Assistant with VOICE and TEXT by Gemini 2.0
gemini20-screen/ - https://youtu.be/GFBa2IdRGLI - How to Build a Real-time Screen Sharing Assistant with Gemini 2.0 Multimodal Live API
gemini20-realtime-function/ - https://youtu.be/c-B7N8i_trs - Build a Real-time Voice & Video Chat App with Function Calling by Gemini 2.0 Multimodal Live API
gemini20-realtime/ - https://youtu.be/y2ETLEZ-oi8 - Build a Realtime Chat App with Google Gemini 2.0 Multimodal Live API
llama33_crewai.py - https://youtu.be/URzsgoT3hoA - How to Use Llama3.3 to Build a Local Agent Workflow
CrewAI_Taipy/ - https://youtu.be/afxNLkpP1MM - How to Create a Stunning Web UI for CrewAI with Taipy
CrewAI_Panel_Update/ - https://youtu.be/Rp4xO0XLfzU - (Updated) How to Create an Interactive Web UI for CrewAI Applications
Llama32_TrainReason/ - https://youtu.be/pLCkeZudkUQ - How to Fine-tune the Llama 3.2 for Reasoning Capabilities at Lowest Cost
Swarm_adv/ - https://youtu.be/joFHANtZs1I - Advanced Swarm Tutorial: RAG Agent, Orchestration and Web UI
swarm_panel.py - https://youtu.be/aQAtKzzrdlc - How to Build a Web UI for an OpenAI's Swarm Application
AgentKit/ - https://youtu.be/QJkCdYKz5IY - Introducing AgentKit: A Lightweight, Easy-to-Learn Multi-Agent Framework
Llama32_FunctionCall/ -https://youtu.be/aTPky3YiZJ0 - How to Implement Function Calling for Llama 3.2 1B/3B Lightweight Models
Llama32/ - https://youtu.be/qFkMdOTD97w - How to Use Llama 3.2 to Create Vision Apps and Multimodal Agents in AutoGen
Instructor/ - https://youtu.be/LwdO7qwpujo - How to Make AutoGen Agents Always Generate Structured Data by Using Instructor
llama_agents.py - https://youtu.be/4UvzuRS83yU - Exploring Llama-Agents with Code Walkthrough
mesop_crewai.py - https://youtu.be/IE4AyrvC4yw - Use Mesop to Develop UI for CrewAI App
mesop_autogen.py - https://youtu.be/Iv-XnbIMG2M - Create a Multi-Agent App with Mesop
autogen_panel_image.py - https://youtu.be/2zNiRGE5TUM - How to Build an Image Creator Agent for the AutoGen Application
AutoGen_API/ - https://youtu.be/4mO2TmDervU - How to Create APIs for AutoGen
crewai_panel.py - https://youtu.be/pODI1SWTVeo - How to Create an Interactive Web UI for CrewAI Applications By Panel
CrewAI_Streamlit.py - https://youtu.be/gWrqfnTGtl8 - How to Implement a Simple UI for CrewAI applications
Voice_assistant_groq/ - https://youtu.be/YeB3DOeEC3I - Best Groq Practice - Making a Voice Assistant with Human Reaction Speed
AutoGen_Gemma_CustomModel/ - https://youtu.be/H0h78EBzz0o - AutoGen + Custom Model + Gemma (or Any Model), Here is the Ultimate Solution
autogen_ollama_gemma.ipynb - https://youtu.be/bkBOuBxsxeM - AutoGen + Ollama + Gemma: How to Create LLM Agents Locally
autogen_openrouter_gemma.ipynb - https://youtu.be/L7ABsqsPN_A - Is Gemma Capable of Building Multi-agent Applications in AutoGen?
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
OpenRouter/ - https://youtu.be/opR3LozV3NM - OpenRouter - Use The LLM Inference API with the Lowest Cost
CrewAI/ - https://youtu.be/tKYr0fgkSPo - CrewAI - A Smartly Designed Multi-agent Framework for LLM App Development
autogen_descriptions/ - https://youtu.be/2YACB_N2bI8 - AutoGen - Use Description Field to Manage the Conversation Between Multiple Agents
autogen_fireworks.py - https://youtu.be/HN96PTdiseo - Use Open Source LLMs in AutoGen powered by Fireworks AI, without GPU/CPU
rag_autogen_panel.py - https://youtu.be/98Ri4VVBP_8 - AutoGen + Panel Ep.3 - Web UI for Multi-agent with Document Retrieval
panel_autogen_2.py - https://youtu.be/9lSaRP9GLCY - Create Full Function UI for AutoGen Powered by Panel (Human Input Enabled)
panel_autogen.py panel_test.py - https://youtu.be/mFmPDyLlj1E
stepback.py - https://youtu.be/N6GghInVajE
autogen_test.py - https://youtu.be/-m7wHrOD1o8
superagent.py - https://youtu.be/vzh6b1N1914

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