Prompt engineering is a game-changing skill that unlocks AI’s full potential across industries. Whether you’re a developer, writer, educator, or entrepreneur, mastering the art of crafting effective prompts …

Internally, Spring AI handles all of the intricacies of sending the prompt request and handling the response, so that the application doesn’t have to. The prompt itself includes text in natu ral language …

9.1 Why we need systematic prompt engineering 9.2 Understanding agent profiles and personas 9.3 Setting up your first prompt flow 9.3.1 Getting started 9.3.2 Creating profiles with Jinja2 templates …

Chapter 3: Prompt Engineering – The difference between mediocre and outstanding AI results often comes down to the prompt. This chapter shows you how to craf t clear, context-rich prompts for …

Provides prompt engineering techniques: role prompting, few-shot, chain prompting, chain-of-thought, alternating messages, and refinement tips Describes various chain types: simple, sequential, …

Prompt engineering—the practice of designing and refining prompts to steer the LLM’s output—is a core skill in LLM application development. You’ll spend a significant amount of time creating, testing, and …

Further, we will understand the importance of prompts, their types, frameworks, and examples, and delve into the prompt engineering process. Finally, we will create a prompt Playground application for …

Moving forward, we will focus on slightly more advanced application fundamentals, including fine-tuning generative models, prompt engineering, and addressing ethical considerations toward the …

Prompt 1: Identify the core sub-questions in the user's query (causes of crash, government response). Prompt 2: Research or retrieve information specifically about the causes of the 1929 crash. Prompt …

The three on the left are a paper clip to attach files to the prompt, a toolbox to reveal tools you might want to use in the prompt like “search the web” and other GPT applications, and a standalone globe …