30 Days of LLMs: Day 9 —Mastering Prompt Engineering for LLMs
For Day 9 of the W&B 30 Days of LLMs, we dive into the art of prompt engineering for enhanced LLM outputs. Discover from basic to Level 5 prompts and their impact on LLM responses.
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 9: Mastering Prompt Engineering for LLMs
Welcome to Day 9 of our complimentary course, "Building LLM-Powered Apps," offered by Weights & Biases. This session focuses on the craft and science behind creating effective prompts for large language models (LLMs).
Chapter Highlights
- Insights from an Expert: Follow along with our machine learning engineer, Darek Kleczek, as he demystifies the nuances of prompt crafting.
- Mastery in Prompting: Learn how skillfully designed prompts can remarkably affect the output quality from LLMs, leading to precise answers in Q&A tasks or insightful summaries.
- Levels of Prompt Sophistication: Understand the various stages of prompt complexity, ranging from basic one-liners to intricate, layered instructions.
- Exploring Level 5 Prompts: Delve into the highest tier of prompt crafting with Level 5 prompts, which include comprehensive task analysis, clear output descriptions, and criteria for evaluation.
- Interactive API Experiences: Engage in practical sessions using APIs from OpenAI, Cohere, and Hugging Face, gaining insights into distinctive model features from Meta Mosaic, Eleuthera, and others.
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
In the next chapter, prepare to embark on constructing your foundational LLM application, where we'll delve into vital elements like application architecture and beyond.
Add a comment
Tags: ML News
Iterate on AI agents and models faster. Try Weights & Biases today.