End to End Medical Chatbot Project Implementation | Generative AI | English | Euron
Автор: Euron
Загружено: 23 окт. 2024 г.
Просмотров: 95 083 просмотра
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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/end-to-end-m...
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
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