30 Days of LLMs: Day 18 — LLM Chat Interface & Document Ingestion
For Day 18 of the W&B 30 Days of LLMs, we guide you through building a baseline Large Language Model application with an interactive chat interface. Discover the process of document ingestion and utilizing Langchain and Chroma.
Created on December 8|Last edited on December 10
Comment
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 18 — LLM Chat Interface & Document Ingestion
In Day 18 of the Weights & Biases 30 Days of LLMs, we start the hands-on development of a foundational Large Language Model (LLM) application. Our Machine Learning Engineer, Darek Kleczek, at Weights & Biases, will lead you through the essential phases of integrating documents into a vector store for a dynamic chat interface.
Chapter Highlights
- Constructing a Chat Interface: Learn the initial steps of building a baseline application with a chat interface for user interaction.
- Document Ingestion Process: Explore the detailed process of loading, chunking, and embedding documents for efficient retrieval in LLM applications.
- Utilizing Langchain and Chroma: See how Langchain and Chroma DB vector store are used for processing and storing embeddings.
- Version Control with Weights & Biases: Understand the importance of version controlling your documents and prompts using Weights & Biases artifacts.
- Practical Implementation: Follow the hands-on approach to run the ingestion script, specifying parameters like document directory, chunk size, and overlap.
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
Don't miss our next chapter, which focuses on further enhancing and refining LLM applications.
Add a comment
Tags: ML News
Iterate on AI agents and models faster. Try Weights & Biases today.