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Follow along with this 2-hour tutorial to develop a full-stack AI chat application using the MERN stack and multiple AI models. Master the integration of ChatGPT API, Google's BERT, and DeepSeek R1 while building a robust backend with MongoDB and implementing frontend functionality. Starting from project initialization with npm, progress through setting up the backend architecture, handling MongoDB connections, managing OpenAI tokens, and creating essential files like chat.js and environment configurations. Move on to frontend development, endpoint testing, and finally implement advanced AI features using Hugging Face models and DeepSeek R1 integration. Gain practical experience in modern web development by combining traditional stack components with cutting-edge AI technologies.
Syllabus
0:00:00 Introduction
0:04:10 npm init
0:07:28 backend folder
0:12:50 mongodb
0:19:10 openai tokens
0:26:50 mongodb issues
0:33:50 chat.js file
0:39:50 .env file
0:45:50 frontend folder
0:58:50 testing endpoints
1:26:50 huggingface
1:39:50 response
1:43:55 deepseek r1
1:58:00 results
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