Responsive LLM Applications with Server-Sent Events

Large Language Models (LLM) are transforming entire industries, but integrating them into user interfaces with real-time data streaming comes with unique challenges. In this course, you will learn to seamlessly embed LLM APIs into applications and create AI interfaces for streaming text and chats using TypeScript, React, and Python. We will develop a fully functional AI application step by step with high-quality code and flexible implementation.

As part of the course, you will create an LLM application that includes:

• autocompletion scenario (translation from English to emoji),
• chat,
• retrieval augmented generation scenario,
• AI agent usage scenarios (code execution, data analysis agent).

This application can become a starting point for most projects, saving a lot of time, and its flexibility allows for the addition of new tools as needed.

By the end of the course, you will have mastered the end-to-end implementation of a flexible and high-quality LLM application. You will also gain the knowledge and skills necessary to create complex solutions based on LLM.