30 Days of LLMs: Day 19 —Building Web Chatbots with LLM
For Day 19 of the W&B 30 Days of LLMs, join Darek Kleczek in creating a user-friendly LLM-powered chatbot web application. Learn to build an intuitive UI using Gradio and implement chat functionality.
Created on December 10|Last edited on December 11
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We'll be taking a day-by-day look at our Building LLM-Powered Applications course — and giving you the chance to win some great prizes!
30 Days of LLMs Contest
By enrolling in our free Building LLM-Powered Applications course, you will automatically be entered into a prize draw to win the coveted W&B socks. Complete the course, and you'll be entered into the draw to win a pair of Apple AirPods Pro!
Day 19: Building Web Chatbots with LLM
Welcome to Day 19 of our complimentary course, "Building LLM-Powered Apps," offered by Weights & Biases. In this chapter of "Developing LLM-Enabled Applications," we dive into the realm of creating web applications. Guided by Darek Kleczek, a Machine Learning Engineer with W&B, this chapter emphasizes the design of an easy-to-use web app that allows user interaction with an LLM-based chatbot.
Chapter Highlights
- Designing a User Interface: Discover how to craft a straightforward and user-friendly interface for your chatbot using the Gradio library.
- Setting Up the Application: Learn about the critical elements of the setup file, including choices for project configurations and model options.
- Incorporating Vector Store and Chains: Gain insights into integrating vector stores and conversational QA chains from Weights & Biases artifacts into your app.
- Adding Chat Capabilities: Explore the nuances of creating a chat feature that answers user inquiries through the LLM.
- Live Web Application Demonstration: Watch a real-time demonstration of the app's functionality in a web browser setting.
Key Course Information
- No deep machine learning knowledge is needed, just some familiarity with Python programming.
- Strategies for continual enhancement of your LLM applications.
- Unique perspectives on the LLM tools used by Weights & Biases.
Free Enrollment
Preview of the Next Chapter
Join us tomorrow, when we'll concentrate on improving and fine-tuning LLM applications.
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