FoundationThis course will enable users to make the utmost use of LLMs in accomplishing daily tasks
4 assuntos
The Foundations of Prompt EngineeringNew Description
4 licoes
What is Prompt EngineeringThis lesson introduces the fundamental concept of prompt engineering, explaining what it is, why it's a critical skill, and how it differs from a simple query.
The Core Principles of Effective PromptsThis lesson breaks down the key principles of effective prompt engineering, from being specific and providing context to using clear formatting.
Providing Context and Setting ConstraintsThis lesson explores how to improve outputs by providing the model with specific background information and setting clear boundaries on its response.
Prompting for Creative and Controlled OutputsThis lesson explores how to use prompting to steer the model towards either a highly creative and surprising output or a strictly controlled and predictable one.
Core Prompting TechniquesNew Description
6 licoes
Zero-Shot PromptingThis lesson introduces zero-shot prompting, a fundamental technique where the model is asked to perform a task without examples.
One-Shot PromptingThis lesson introduces one-shot prompting, a technique where you provide a single example to guide the model's response.
Few-Shot PromptingThis lesson introduces few-shot prompting, a powerful technique that involves providing a small number of examples to guide the model's response.
The Art of Iterative PromptingThis lesson explores the vital process of refining your prompts through a series of interactions to achieve more accurate and detailed results.
Prompting for Structured DataThis lesson explores how to design prompts that force a large language model to produce outputs in a specific, machine-readable format such as JSON or Markdown.
Chain-of-Thought (CoT) and Step-by-Step ReasoningThis lesson explores a powerful technique that improves model accuracy on complex tasks by asking it to show its work, just like a human would.
Advanced Prompting and ApplicationsNew Description
4 licoes
The Self-Correction Loop and Self-RefinementThis lesson explores how to build autonomous agents that can evaluate their own output and automatically refine their responses in a closed feedback loop.
Prompting for Code Generation and DebuggingThis lesson teaches you how to use prompt engineering to generate, improve, and debug code, transforming large language models into powerful coding assistants.
Introduction to Multimodal Prompting (Text-to-Image)This lesson explores how to write descriptive and effective prompts to generate high-quality images using models like Sora or Midjourney.
Prompting for Safety and Ethical GuardrailsThis lesson explores how to use prompt engineering to build in safety and ethical guardrails, ensuring AI outputs are responsible, unbiased, and secure.
Final ProjectNew Description
1 licoes
CapstoneThis lesson marks the beginning of your capstone project, where you will apply all the skills and knowledge from the course to solve a real-world problem.
