30 Days of LLMs: Day 1 — Kickstart Your Journey in LLM-Powered App Development
In Day One of the Weights & Biases 30 Days of LLMs, we discover the first chapter of our Building LLM-Powered Apps course, giving you everything you need to get started.
Created on December 8|Last edited on December 10
Comment
Welcome to Day One of the Weights & Biases 30 Days of LLMs! 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 One: Kickstart Your Journey
In this opening chapter, Darek Kleczek, a Machine Learning Engineer at Weights & Biases, takes you through the realm of applications powered by Large Language Models (LLMs). Drawing inspiration from Chris Alban's insights on the rapidly growing sector of LLMs, Darek provides an introduction to the field. Learn how early involvement can place you at the forefront of this quickly developing area.
Chapter Highlights
- The distinct advantage LLMs offer in today's technological environment.
- A comprehensive look at the transformative impact of LLMs across various sectors.
- Fundamental principles and initial guidance for creating LLM-driven applications.
- Insights into the process of prompt engineering and the support provided by Weights & Biases.
- An example of a practical application is the Weights & Biases Discord support application.
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
You can look forward to our upcoming video, where we will unveil our Discord server, demonstrating an excellent example of an LLM-powered application in real-world use!
Add a comment
Tags: ML News
Iterate on AI agents and models faster. Try Weights & Biases today.