LLM Powered Multi Level Application Development | Agentic AI Project | Euron

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Unlock the secrets to building Level 1 AI-powered apps with this step-by-step guide using LangChain and OpenAI! Dive into this beginner-friendly video designed for aspiring developers and tech enthusiasts who want to master AI. Whether you're new to programming or looking to enhance your skills, this video offers well-structured and easy-to-understand content, guiding you through creating chatbots, sentiment analyzers, and more, all without requiring advanced coding knowledge.

Learn how to implement Artificial Intelligence concepts like memory integration, sentiment analysis, data extraction, and even build custom query-based applications in this comprehensive video. Gain practical insights into AI project implementation, explore programming basics, and discover how to use tools like LangChain, OpenAI models, and vector databases effectively.

This is your chance to become part of a supportive community of AI enthusiasts, perfect for anyone considering a career switch to technology or looking to upgrade their AI expertise. Don’t miss out on this TechnologyEducation opportunity that combines AiForBeginners, AiProjectImplementation, and ArtificialIntelligence in one streamlined guide!

💡 If you found this video helpful, please like, comment, and subscribe to support the channel. Share this with friends and family and help us grow a community of learners passionate about technology and AI. Let’s master AI together! 🌟

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CHAPTERS:
00:00 - Overview of Level 1 Architecture
02:02 - Chatbot Project Implementation
12:26 - Session Memory Techniques
16:00 - Key Data Extraction Methods
20:39 - Sentiment Analysis Techniques
24:35 - SQL Database Question Answering
29:20 - Project 1: Level 1 Architecture Implementation
32:56 - Project 2: Level 1 Architecture Implementation
37:58 - RAG Application Overview
40:38 - Introduction to Level 2 Architecture
41:39 - Call Reduction Improvement Strategies
44:15 - Text Rewriter Functionality
48:44 - Blog Post Generation Techniques
51:16 - Text Summarization Methods
55:56 - Extracting Information from Product Reviews
58:10 - Deployment Overview
01:01:34 - Deployment Steps Explained
01:04:14 - Committing Code to GitHub
01:05:40 - Installing Docker
01:05:59 - Cloning the Repository
01:07:18 - Building Docker Images
01:07:48 - Running Docker Containers
01:09:07 - Terminating Instances


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