This foundational course introduces learners to the world of Large Language Models (LLMs) and the fundamentals of prompt design. Aimed at demystifying how LLMs, such as GPT-4o, LLaMA, Claude 3.5, generate text and interact with users, this course offers a solid starting point for anyone looking to harness the power of advanced AI in crafting prompts that produce precise outputs.
Engineering LLM Output Size
This intermediate course focuses on manipulating output sizes from large language models (LLMs). From generating concise single words to expansive articles, learners will explore techniques for precise control over the length and detail of AI-generated content. This is crucial for tailoring responses to fit specific requirements in content creation, coding, and beyond.
Format Control in Prompt Engineering
This course is designed to empower users with the skills needed to command LLMs to produce outputs in specific formats. From bulleted lists to complex JSON objects, learners will learn how to refine prompts that yield structured, format-specific responses. This advanced understanding enhances data manipulation, reporting, and ensures compatibility with broader systems.
Prompt Engineering for Precise Text Modification
Tailored for those looking to master text manipulation using LLMs, this course delves into sophisticated prompt engineering strategies to summarize, extend, or modify text without compromising specific elements. Whether preserving tone, style, or content, learners will gain the ability to finely tune LLM outputs for nuanced text enhancements.
Advanced Techniques in Prompt Engineering
This course on Advanced Techniques in Prompt Engineering equips learners with innovative strategies for crafting effective AI prompts. Covering brainstorming, system prompt optimization, the chain of thought method, and iterative construction, it teaches how to create sophisticated prompts for enhanced LLM communication.
