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Prompt Engineering – For Optimal LLM Performance
Prompt Engineering – For Optimal LLM Performance

Prompt Engineering – For Optimal LLM Performance: A masterclass on prompt engineering techniques for optimal large language model performance

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Key benefits

  • In-depth guide to optimize LLM performance
  • Actionable techniques and strategies from AI expert Valentina Alto
  • Methods to control model behavior and align it to your goals

Description

Prompt engineering is key to harnessing the immense capabilities of large language models. In this in-depth masterclass, data and AI specialist Valentina Alto unveils the art and science behind crafting effective prompts. You’ll learn proven techniques to optimize prompting, control model behavior, reduce risks like hallucination, and overcome limitations. Valentina provides specific strategies to make your LLMs more precise, aligned to your goals, and production ready. With her deep expertise and hands-on guidance, you’ll be able to create prompts that act as precise instructions enabling your large language models to deliver peak performance. This masterclass equips you with prompt engineering skills to build conversative AI applications that leverage the full potential of LLMs.

Who is this book for?

This masterclass is ideal for anyone seeking to unlock the full potential of LLMs through advanced prompt engineering techniques. Whether you're a seasoned AI professional or someone looking to delve into the intricacies of optimizing LLM performance, this session provides valuable insights and actionable strategies.

What you will learn

  • Fundamentals of prompting and how it powers LLM applications
  • Principles and advanced techniques for strategic prompt engineering
  • Techniques to reduce risks like hallucination through careful prompting
  • Approaches to chain prompting for multi-step reasoning
  • Defensive techniques to secure prompts against injection attacks
  • Ways to protect prompts against hacking attempts and misuse

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Dec 01, 2023
Edition : 1st
Language : English
ISBN-13 : 9781835881521
Category :

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Product Details

Publication date : Dec 01, 2023
Edition : 1st
Language : English
ISBN-13 : 9781835881521
Category :

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Table of Contents

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