Скачать с ютуб End to End Medical Chatbot Project Implementation | Generative AI | English | Euron в хорошем качестве

End to End Medical Chatbot Project Implementation | Generative AI | English | Euron

Sign up with Euron today : https://euron.one/sign-up?ref=940C6863 Unlock the world of coding with our in-depth video on building a Medical Chatbot with Python! Perfect for beginners and those seeking a refresher, this comprehensive free course will guide you through creating an end-to-end generative AI project. Master Python fundamentals while learning how to implement innovative solutions using modular coding, custom data, and powerful language models. Access Projects & Materials in One Click :- https://euron.one/course/project-end-... What You'll Learn: Build a Medical Chatbot with Python Use Git and GitHub for version control Deploy projects on cloud platforms Explore modular coding and vector databases Why Watch? Perfect for beginners: Kickstart your programming journey Practical examples: Learn through real-world applications Structured learning: Follow a clear, step-by-step approach Hit play and code along! Like, Subscribe, and hit the notification bell to stay updated with the latest in Python tutorials and coding for beginners. Join us at Euron and learn programming in a supportive and approachable environment. #medicalchatbot #telehealthplatform #clinicalengineering #generativeai #telehealthservices #langchain #aiagents #generativeai #aitools #healthcarechatbotproject CHAPTERS: 00:00 - Introduction 01:42 - Project Architecture 04:28 - Creating Knowledge Base 07:16 - Creating Semantic Index 09:58 - Medical Chatbot Project Architecture 11:05 - End to End Medical Chatbot Architecture 12:13 - Medical Chatbot Project Technology 13:20 - Medical Chatbot GitHub Repository 17:49 - Project Folder Structure 19:50 - Automating Project Structure with Python 26:53 - Python Script for Folder Structure 30:25 - Setting Up Local Package 32:40 - Implementing in Jupyter Notebook 35:14 - Extracting Data from PDF 36:15 - Downloading Embedding Model from Hugging Face 39:13 - Initializing Pinecone Vector Database 43:16 - Creating Index and Storing Embeddings 48:53 - Loading Index and Semantic Search 51:21 - Initializing OpenAI Model 52:35 - Creating Complete Chain 55:40 - Preparing Model Encoding 01:01:28 - Creating Endpoint 01:08:46 - Final Commit and Deployment Plan 01:10:31 - Complete Implementation 01:10:38 - Outro Instagram: https://www.instagram.com/euron_offic... LinkedIn: https://www.linkedin.com/company/euro...