Prompt Engineering - Learn Data Science with Travis

Prompt-Engineering

Prompt Engineering is a crucial skill in the realm of artificial intelligence, particularly when working with Large Language Models (LLMs). It involves crafting precise and clear instructions or questions to elicit the most accurate and relevant responses from these models. By providing specific context and constraints, users can guide LLMs to produce outputs that are structured, factually correct, and tailored to their needs. This practice not only enhances the effectiveness of AI interactions but also unlocks new possibilities for applications in content creation, data analysis, and more. Mastering prompt engineering can significantly improve the quality of AI-generated responses.

Prompt Engineering: Unlocking the Full Potential of Large Language Models

Towards AI

In our previous article, we introduced Large Language Models (LLMs) and took a quick look at what they can do. Now, we’ll dive into one of the most critical skills for anyone working with these models...

Prompt Engineering — Best Practices

Level Up Coding

Prompt Engineering — Best Practices Super smart chatbots, like ChatGPT and Claude 3, are everywhere these days! They’re used by all sorts of people to get things done, both at work and at home. These...

Prompt Engineering Best Practices: Chain of Thought Reasoning

Towards AI

Prompt engineering, a fundamental concept in AI development, involves crafting tailored instructions or queries to guide AI models in… Continue reading on Towards AI

Practical Prompt Engineering

Towards Data Science

Due to their text-to-text format, large language models (LLMs) are capable of solving a wide variety of tasks with a single model. Such a capability was originally demonstrated via zero and few-shot l...

Prompt Engineering Best Practices: Building an End-to-End Customer Service System

Towards AI

Prompt engineering plays a pivotal role in crafting queries that help large language models (LLMs) understand not just the language but… Continue reading on Towards AI

Prompt Engineering: A Practical Example

Real Python

Learn prompt engineering techniques with a practical, real-world project to get better results from large language models. This tutorial covers zero-shot and few-shot prompting, delimiters, numbered s...

Simplifying Prompt Engineering Testing through the Use of This Tool

Towards AI

Prompt engineering is a process to craft and optimize input to the AI model. In a Large Language Model, prompt engineering refers to optimizing the sentences or phrases we input to generate an accurat...

Complete Guide to Prompt Engineering

Level Up Coding

Complete Guide to AI Art Prompt Engineering Unleashing Creativity with Code Why it Matters In an era where artificial intelligence (AI) is revolutionizing industries, the art world is no exception. T...

The Art of Prompt Engineering

Towards AI

In the ever-evolving landscape of artificial intelligence (AI), where machines are becoming increasingly adept at understanding and generating human-like text, a new art form is emerging: Prompt Engin...

Automated Prompt Engineering

Towards Data Science

I spent the past few months trying to build all sorts of LLM-powered apps, and truthfully, a really significant portion of time was just dedicated to improving prompts to get my desired output from th...

Practical Prompt Engineering

Real Python

In this quiz, you'll test your understanding of prompt engineering techniques with large language models (LLMs) like GPT-3.5 and GPT-4. You'll revisit how to work with OpenAI's API, apply prompt engin...

The Emerging Art of Prompt Engineering

Towards Data Science

By now, even the most casual generative-AI tinkerer knows that the specificity of one’s prompt determines, to a large extent, the quality of a model’s output—whether that’s a realistic image, an on-to...