30 Days of LLMs: Day 7 —Deep Dive into LLM Sampling Techniques
For Day 7 of the 30 Days of LLMs, we dive into advanced LLM sampling, exploring temperature & top P techniques. Experience real model demonstrations and troubleshooting tips.
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 7: Deep Dive into LLM Sampling Techniques
Explore the realm of Large Language Models (LLMs) with Weights & Biases in the seventh segment of our complimentary online course, "Building LLM-Powered Apps." Our specialist, Darek Kleczek, will guide you through the complexities of sampling methods used in LLMs.
Chapter Highlights
- Grasping Sampling Concepts in LLMs: Delve into the crucial role of sampling methods in text creation using LLMs.
- Temperature and Top P Sampling Techniques: Discover two pivotal sampling strategies – temperature and top P – and their impact on the text generation process.
- Live Examples of Sampling: Observe these sampling techniques being employed in practical scenarios with our Vinci 003 text model, and comprehend how varying configurations affect the results.
- Solving Common Issues: Acquire knowledge on addressing API limit errors and other typical obstacles encountered in LLM applications.
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, where we will focus on creating a foundational LLM application, discussing essential elements like application architecture and beyond.
Add a comment
Tags: ML News
Iterate on AI agents and models faster. Try Weights & Biases today.