Prompt Engineering for Generative AI
Future-Proof Inputs for Reliable AI Outputs
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Audibleプレミアムプラン30日間無料体験
¥2,200 で購入
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ナレーター:
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Mike Chamberlain
概要
Large language models (LLMs) and diffusion models such as ChatGPT and Stable Diffusion have unprecedented potential. Because they have been trained on all the public text and images on the internet, they can make useful contributions to a wide variety of tasks. And with the barrier to entry greatly reduced today, practically any developer can harness LLMs and diffusion models to tackle problems previously unsuitable for automation.
With this book, you'll gain a solid foundation in generative AI, including how to apply these models in practice. When first integrating LLMs and diffusion models into their workflows, most developers struggle to coax reliable enough results from them to use in automated systems. Authors James Phoenix and Mike Taylor show you how a set of principles called prompt engineering can enable you to work effectively with AI.
This book explains the structure of the interaction chain of your program's AI model and the fine-grained steps in between; how AI model requests arise from transforming the application problem into a document completion problem in the model training domain; the influence of LLM and diffusion model architecture—and how to best interact with it; and how these principles apply in practice in the domains of natural language processing, text and image generation, and code.
PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
©2024 Saxifrage, LLC and Just Understanding Data LTD (P)2025 Ascent Audioこちらもおすすめ
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【内容紹介】天下統一の有力候補であった武田信玄の人事と治世の面にスポットを当てた講演。戦略・知略で後世まで名をとどろかせた信玄公の凄さとは?【講師紹介】作家 童門冬二- 1927年東京都生まれ。歴史小説の第一人者。歴史の中から現代に通ずるものを好んで書く。講演活動も積極的に行っている。
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