Prompt Engineering for LLMs: Ultimate Guide and Techniques (part 1)

Improving Prompt Engineering Practices

With the boom of LLMs, Prompt Engineering is becoming a huge thing. Prompt engineering is crucial for developing and optimizing prompts to unleash the full potential of large language models (LLMs).

• Prompt engineering encompasses a wide range of techniques for interfacing with LLMs, improving their safety, and augmenting them with domain knowledge and external tools.
• Garbage in, garbage out — prompt engineering is important for providing good input data to LLMs.
• Good prompt engineering can lead to good synthetic data that can be used to improve your ML models, and potentially outperform LLMs as well.

Just as data cleaning and feature engineering, prompt engineering can become Data Scientist’s/ML Engineer’s day-to-day.

Prompt Engineering

from ChatGPT Prompt Engineering for Developers course

Hey there, language lovers! Have you heard about the revolutionary discipline of prompt engineering? It’s all about developing and optimizing prompts to unleash the full potential of large language models (LLMs). Whether you’re a researcher exploring question answering and arithmetic reasoning or a developer designing robust prompting techniques, prompt engineering skills…