Prompt Engineering for LLMs: The Art and Science of Building Large Language Model-Based Applications - Image 1

£43.34

O'Reilly Prompt Engineering for LLMs: The Art and Science of Building Large Language Model-Based Applications

Name: Prompt Engineering for LLMs: The Art and Science of Building Large Language Model-Based Applications
Brand: O'Reilly
Price: 43.8 GBP
Availability: InStock

AI & Machine Learning

Price History & Forecast

Last 7 days • 7 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 7 days • 2 price levels

Days at Price

Current Price

Price Analysis

Most common price: £44 (4 days, 57.1%)

Price range: £44 - £44

Price levels: 2 different prices over 7 days

Description

Large language models (LLMs) are revolutionizing the world, promising to automate tasks and solve complex problems. A new generation of software applications are using these models as building blocks to unlock new potential in almost every domain, but reliably accessing these capabilities requires new skills. This book will teach you the art and science of prompt engineering-the key to unlocking the true potential of LLMs. Industry experts John Berryman and Albert Ziegler share how to communicate effectively with AI, transforming your ideas into a language model-friendly format. By learning both the philosophical foundation and practical techniques, you'll be equipped with the knowledge and confidence to build the next generation of LLM-powered applications. Understand LLM architecture and learn how to best interact with it Design a complete prompt-crafting strategy for an application Gather, triage, and present context elements to make an efficient prompt Master specific prompt-crafting techniques like few-shot learning, chain-of-thought prompting, and RAG

Key Features

New Store Stock

Product Specifications

Brand: O'Reilly
Format: paperback
ASIN: 1098156153
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 19 November 2024
Listed Since: 22 May 2024

Barcode

No barcode data available

O'Reilly Prompt Engineering for LLMs: The Art and Science of Building Large Language Model-Based Applications

Price History & Forecast

Price Distribution

Price Analysis

Description

Key Features

Product Specifications

Barcode

Similar Products You Might Like

Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs

Building Applications with Large Language Models: Techniques, Implementation, and Applications

Large Language Models: A Deep Dive: Bridging Theory and Practice

LLM Engineer's Handbook: Master the art of engineering large language models from concept to production

Hands-On Large Language Models: Language Understanding and Generation

Building LLMs for Production: Enhancing LLM Abilities and Reliability with Prompting, Fine-Tuning, and RAG

LLMOps: Managing Large Language Models in Production

LLM Design Patterns: A Practical Guide to Building Robust and Efficient AI Systems

LLMs in Enterprise: Design strategies, patterns, and best practices for large language model development

The LLM Engineering Bible [All-in-One]: Everything on How to Build, Deploy, and Scale Production-Ready AI Systems in 30 Days. Includes Practical and Updated LLM Use Cases Ideas and Expert Tips

LLMs in Production: From Language Models to Successful Products

Prompt Design Patterns: Mastering the Art and Science of Prompt Engineering (Generative AI Revolution Series)

Prompt Design Patterns: Mastering the Art and Science of Prompt Engineering (Generative AI Revolution Series)

Genai on Google Cloud: Enterprise Generative AI Systems and Agents

Large Language Models (LLMs)

The Developer's Playbook for Large Language Model Security: Building Secure AI Applications

Large Language Models: Concepts, Techniques and Applications

Prompt Engineering: And The Word Was Made Flesh

The Essential Guide to Prompt Engineering: Key Principles, Techniques, Challenges, and Security Risks (SpringerBriefs in Computer Science)

Designing Large Language Model Applications: A Holistic Approach

Prompt Engineering: The Complete Guide

Building AI Agents with LLMs, RAG, and Knowledge Graphs: A practical guide to autonomous and modern AI agents

Introduction to Python and Large Language Models: A Guide to Language Models

Applied Generative AI for Beginners: Practical Knowledge on Diffusion Models, ChatGPT, and Other LLMs