Tutorial: Prompt Engineering Fundamentals
This workshop on Prompt Engineering explores the pivotal role of prompts in guiding Large Language Models (LLMs) like ChatGPT to generate desired responses
Tutorial Overview
Prompt Engineering Fundamentals
This hands-on tutorial on Prompt Engineering explores the pivotal role of prompts in guiding Large Language Models (LLMs) like ChatGPT to generate desired responses. It emphasizes how prompts provide context, control output style and tone, aid in precise information retrieval, offer task-specific guidance, and ensure ethical AI usage. Through practical examples, participants learn how varying prompts can yield diverse responses, highlighting the importance of well-crafted prompts in achieving relevant and accurate text generation.
Additionally, the workshop introduces temperature control to balance creativity and coherence in model outputs, and showcases LangChain, a Python library, to simplify prompt construction. Participants are equipped with practical tools and techniques to harness the potential of prompt engineering effectively, enhancing their interaction with LLMs across various contexts and tasks.
Tutorial Topics
- Introduction to Prompt Engineering
- Prompt Tuning as a Mechanism for fine-tuning
- Guardrails for Prompt Responses
- Temperature as a Means for Model Control
- Memorization
- Tool For Prompt Engineering
Senior Machine Learning Engineer / Data Science Consultant
Mary Grace Moesta
Mary Grace Moesta is a senior data science consultant at Databricks. She's been working in the big data and data science space for several years with opportunities to collaborate across several verticals, with the majority of her work focused in the Retail and CPG space. Prior to Databricks, Mary Grace was able to contribute to several machine learning applications, namely - personalization use cases, forecasting, recommendation engines, and customer experience measures.
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1
Welcome to the Tutorial!
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Welcome to the Tutorial!
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What You'll Learn in This Tutorial
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How to use this Tutorial
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Tutorial Prerequisites
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Prompt Engineering Fundamentals
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Introduction to prompt engineering
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Guardrails for model responses
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Temperature as a Means for Model Control
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Prompt engineering as a mechanism for fine-tuning
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Memorization
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Tools for prompt engineering
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Lesson Notebook: Prompt Engineering Part I: Fundamentals.
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Prompt Engineering Part I
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CODE TO LEARN
A Hands-on Tutorial
This hands-on tutorial goes beyond the basics, offering you an interactive Coding Notebook crucial to your educational journey. It immerses you in an engaging process of writing, generating, and executing code, enabling a comprehensive exploration of the tutorial's core concepts through practical coding exercises. By applying these concepts in real time, you'll witness the immediate impact of your coding choices. This hands-on approach is not just about learning to code; it's about coding to learn, solidifying your understanding as you seamlessly generate and execute code.
