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 steps, role prompts, chain-of-thought prompting, and more.

Master the art of prompt engineering in Python and unlock the full potential of GPT models and the OpenAI API. This course will teach you how to create, improve, and fine-tune prompts for various tasks, from personal coaching to building chatbots.

Jan 6, 2024 · This article delves into the essential skills of prompt engineering and illustrates them with Python examples, offering a comprehensive guide for AI enthusiasts and professionals.

Log, visualize, and evaluate your LLM prompts, prompt templates, prompt variables, metadata, and more. ICE is a Python library and trace visualizer for language model programs. Open source NLP framework to interact with your data using LLMs and Transformers.

Feb 18, 2025 · Prompt engineering is a powerful skill that enhances AI-driven Python code generation. By crafting precise, structured prompts, developers can improve AI accuracy, efficiency, and reliability in coding tasks.

Learn how to design prompts that yield accurate, coherent, and contextually relevant responses. Dive into advanced prompt engineering strategies, including ethical considerations and emerging trends. Get hands-on experience with runnable code …

Apr 14, 2023 · Prompt engineering is the process of designing input prompts for AI language models to generate desired outputs. An effective prompt should be clear, concise, and contextually relevant to ensure optimal responses from the AI model.

Programming Languages: Python is predominant for API integration with platforms like OpenAI or Hugging Face Transformers. ... Showcase prompt libraries, successful case studies, or tutorial videos demonstrating prompt engineering techniques. Contribute to Open Source: Share prompt recipes and best practices on GitHub or community forums.

Sep 20, 2023 · GPT prompt engineering is a deliberate practice that revolves around crafting prompts strategically to shape the behavior of GPT language models, including GPT-3, GPT-3.5-Turbo, or...

In this chapter, we will step into the fascinating world of prompt engineering, where we will learn about key principals of working with LLMs through prompts. We will be leveraging ollama based...