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Understanding LLMs

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Overview

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.

Syllabus

Unit 1: Introduction to Large Language Models and Prompt Engineering Basics

Predicting the Next Word in Space Exploration Context
Predicting the Next Word in a Sequence
Creating a Prompt for Predictable One-Word Response
Consistently Returning Zero

Unit 2: Effective Prompt Engineering with the Markdown Prompts Framework

Separating ASK from CONSTRAINTS for Enhanced Readability
Creating a Space Corgi Joke with Cosmo
Restructuring Prompts for Clarity and Effectiveness

Unit 3: The Importance of Great Examples in Prompt Engineering

Reorganizing Prompts for Effective LLM Output
Refining Prompts with Example Integration
Developing a Remote Work Transition Plan for a Software Development Team
Crafting Effective Prompts with Multiple Examples

Unit 4: Introduction to Context Limits in Large Language Models

Transforming Unorganized Data into a Markdown Table
Creating Concise Prompts for Project Documentation
Creating a Markdown Table of LLM Context Limits

Unit 5: Effective Communication with LLMs: Mastering Style Specifications

Futuristic AI Cafe Dialogue Prompt Creation
Creating a Futuristic Short Story on Unity
Creating an Engaging Machine Learning Summary Prompt

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