Generative AI for NodeJs: OpenAI, LangChain - TypeScript

Throughout the course, participants will become familiar with the core concepts of AI, algorithms, and frameworks, focusing on their practical application in a Node.js environment.

Main Topics of the Course:

• Introduction to AI and its application in Node.js
• Setting up OpenAI for basic applications
• Working with models, tokens, and roles
• OpenAI request parameters

Practical Applications:

• ChatGPT clone in the console
• Main features of the application: history, context, and token limit
• Application with OpenAI tools

Key AI Development Topics:

• Embeddings - creation, saving, loading
• Similarity search using cosine or dot product

Vector Databases:

• Introduction and setup
• Creating a ChromaDB server with Docker and a client for NodeJS
• Setting up Pinecone and working with indices
• Building applications based on Pinecone

LangChain Section:

• Introduction to LangChain and its setup
• Prompt templates, parsers, and loaders for web and files
• Generative AI with LangChain

Running Local AI Models:

• Studying the Hugging Face API and open models for local applications
• Local embeddings, translation, text, voice, and image models

Bonus TypeScript Section:

• Basics of TypeScript - compiler, functions, special types, generics, classes, and much more

Course Benefits:

• Advanced Learning: knowledge that can be applied directly in production code
• Practical Approach: minimal theory, only the essentials
• Convenient Structure: learn at your own pace
• Clarity and Respect for Your Time: clear explanations and minimal amount of typing
• High-Quality Visual Design: large font, dark background, HD content