🔰 Build an AI agents capable of generating voice responses from YouTube videos
🎯 𝐉𝐨𝐢𝐧 𝐦𝐲 𝐀𝐈 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐓𝐨𝐝𝐚𝐲 and Transform your Career ⟱
https://www.maryammiradi.com/training
📚 𝐆𝐫𝐚𝐛 𝐅𝐫𝐞𝐞 𝐆𝐮𝐢𝐝𝐞: My 20+ Years of Expertise in AI Packed into 55 Pages ⟱
https://www.maryammiradi.com/free-guide
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In 4th Video in my LLM Series, you’ll learn how to build AI agents capable of generating voice responses from YouTube videos using cutting-edge tools like Ollama, Llama 3, LangChain, CrewAI, and ElevenLabs.
I’ll walk you through creating a Talking AI Multi-Agent that delivers a personalized travel guide for Amsterdam. You’ll explore the following:
– What are AI agents and how to build them
– YouTube script extraction using Langchain and the YouTube API
– Implementing dense passage retrieval with FAISS and building a vector database
– Installing Ollama Python and using Ollama Embeddings and Llama 3 for text summarization
– Creating voice-enabled AI agents using CrewAI and ElevenLabs for generating custom audio responses
– How to integrate Langchain agents with ElevenLabs
– A preview of a Retrieval Augmented Generation (RAG) pipeline for Nvidia Stock Analysis
Whether you’re looking to create AI voice agents, understand the LangChain framework, or learn how to use Ollama, Llama 3, and ElevenLabs, this hands-on guide will help you master it all.
Chapters
Introduction Build Talking AI Multi-Agent from YouTube Videos with Ollama, Llama 3, LangChain, CrewAI & ElevenLabs | Travel Guide Amsterdam
what are AI agents & how to build AI agents
Extracting Youtube Scripts (Youtube API – Langchain)
dense passage retrieval python implementation and FAISS vector database
ollama python install & Ollama Embeddings & Llama 3 text summarization (hugging face)
AI agents with Crew AI Ollama using llama 3
how to use Langchain Agents with elevenlabs & Generating Audio with ElevenLabs
Next is Retrieval Augmented Generation (RAG) pipeline for Nvidia Stock Analysis
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