30 Days of LLMs: Day 13 — Building Your First LLM-Based Application
On Day 13 of our 30 Days of LLMs, we transform API calls into a fully functional LLM app. Tackle common challenges and design robust app architecture. Advance your skills in LLM app development.
Created on December 8|Last edited on December 10
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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 13: Building Your First LLM-Based Application
Welcome to Day 13 of "Building LLM-Powered Apps," our free course. In this session, our Machine Learning Engineer, Darek Kleczek, demonstrates how to develop a foundational Large Language Model (LLM) application, navigate its complexities, and tackle typical issues.
Chapter Highlights
- Transitioning to Application Development: Move from basic API usage to the intricate process of creating a fully operational LLM-based app.
- Addressing API Constraints: Grasp the limitations inherent in using LLM APIs for generating responses and the occurrence of hallucinations in the model's output.
- Examining Real-world Examples: Explore practical examples from our synthetic dataset to highlight discrepancies in LLM-generated responses.
- Understanding Knowledge Limits and Hallucinations: Investigate the challenges of knowledge cutoffs in LLMs and the occurrence of hallucinations in the responses they generate.
- Insights into App Architecture: Begin the process of constructing an LLM application's architecture, addressing various challenges and identifying possible solutions.
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, which focuses on enhancing and fine-tuning LLM applications.
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