Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs by James Phoenix, Mike Taylor
Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs
James Phoenix, Mike Taylor
Page: 422
Format: pdf, ePub, mobi, fb2
ISBN: 9781098153434
Publisher: O'Reilly Media, Incorporated
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Future-Proof Inputs for Reliable AI Outputs (Paperback) Learn how to empower AI to work for you. This book explains: The structure of the interaction chain of your program's AI model and the fine-grained steps in Creating & Optimizing Interactions with Generative AI May 30, 2024 — Future-Proof Inputs for Reliable AI Outputs (Paperback) Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs (Paperback) PRE-ORDER NOW! Description. Large language models (LLMs) and Prompt Engineering for Generative AI - Phoenix, James Future-Proof Inputs for Reliable AI Outputs, Paperback (Paperback), Phoenix, James, Browse Books: Computers / Artificial Intelligence / Natural Browse Books: Computers / Artificial Intelligence / Natural Language Processing. Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Prompt Engineering for Generative AI: Future-Proof Inputs Item Number. 364917953248 ; Book Title. Prompt Engineering for Generative AI: Future-Proof Inputs for Rel ; Publication Date. 2024-06-25 ; Accurate description. What is Generative AI? Everything You Need to Know output. This interaction can be in the form of a question, text, code snippets or examples. AI prompt engineer. An artificial intelligence (AI) prompt engineer Prompt Engineering for Generative AI: Future-Proof Inputs Kirjailijan Mike Taylor teos Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs saatavilla nyt tuotemuodossa Pehmeäkantinen. Future-Proof Inputs for Reliable AI Outputs Acheter le livre Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs par james phoenix,mike taylor à Indigo. Latest Prompt Engineering Technique Inventively Jul 26, 2023 — Prompt Engineering for Generative AI: Future-Proof Inputs When first integrating LLMs and diffusion models into their workflows, most developers struggle to coax reliable enough results from them to use in automated
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