ZeroToMastery – Developing LLM App Frontends with Streamlit 2024-5

Description

Developing LLM App Frontends with Streamlit course. This short and useful course will teach you the basics of Streamlit and how to use it to create a frontend for applications based on large language models (LLM). In this project-based course, you will learn how to use Streamlit to create a user interface for an LLM-based question and answer program. Streamlit is an open source Python library that makes it easy to create and share custom user interfaces for machine learning and data science applications with the world. Why learn Streamlit? Large-scale linguistic models (LLM) are the latest technological revolution, and you’ve probably heard a lot about harnessing the power of LLM for use in artificial intelligence applications. But to make your AI application easy for users, you need a user interface that easily integrates with your LLM and provides a seamless user experience for your users. This is where Streamlit comes in. Streamlit is an amazing open source Python library that provides a fast way to build and share machine learning and data science applications with the world. This project starts with sections that teach you everything you need to know about Streamlit, especially for beginners. Then in the second part, we will build the user interface for our LLM-based question and answer program.

What you will learn

• How to use Streamlit to develop intuitive user interfaces for machine learning and data science applications: By doing this, you make your projects accessible to a wider audience.
• The basics of Streamlit, including its installation and main features: This section is specially designed for beginners to quickly start building interactive web applications.
• Integrating large-scale linguistic models (LLM) with Streamlit to create customer-facing Q&A applications: using the power of artificial intelligence to answer user questions in real-time.
• Transfer from Jupyter notebooks to a production-ready web application using Streamlit: This allows you to share your LLM-based applications with the world beyond the developer community.

Who is this course suitable for:

• People who want to improve their skills in front-end development for AI applications.
• Data scientists and machine learning engineers who want to share their projects with the world.
• Web developers who want to learn more about Streamlit.
• Anyone interested in building interactive applications using artificial intelligence.

Specifications of Developing LLM App Frontends with Streamlit course

• Publisher:  ZerotoMastery
• Lecturer: Andrei Dumitrescu
• Language: English
• Education level: all levels
• Number of courses: 20
• Training duration: 1 hour and 44 minutes

Course topics on 2024/7

Prerequisites of Developing LLM App Frontends with Streamlit course

• Basic Python knowledge is required.
• In order to build this project you must have already created an LLM-powered Q&A application, as you’ll be building the frontend for that app.

Course images

Sample video of the course

download link

Download file – 272 MB

File(s) password: www.downloadly.ir

File size

272 MB