Prompt Engineering and Token Limits

Welcome to this basic module where we learn the best practices for interacting with LLMs – often clubbed under the umbrella of "prompt engineering"!

Here, you will venture into the realm of prompt engineering, the technique behind optimizing interactions with Large Language Models (LLMs).

In practice, it's like learning communication with humans – the more you do, the better you become at it. By the course's end, if you can understand prompt engineering and use it proactively, you'll find that most basic doubts that come across your journey will be addressed as you can figure out things yourself.

For starters, this module unravels the science and art of crafting precise context to garner desired outcomes from LLMs like Google Gemini, Claude, or ChatGPT. By diving deep into the principles of in-context learning and the nuances of prompt design, you'll gain insights into the intricate dance between human queries and machine-generated responses.

As you journey through this section, you'll discover the foundational concepts that underpin effective communication with LLMs.