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Showing 2 books for "Large Language Models"
Google Prompt Engineering (Lee Boonstra) (atdb-library.sk)
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prompt engineering
Google Prompt Engineering (Lee Boonstra) (atdb-library.sk)
Lee Boonstra by Lee Boonstra
4.0 (1)

This document, penned by Lee Boonstra, focuses on Google Prompt Engineering – essentially, how to talk to AI effectively. It's full of practical strategies to help you get much more accurate and useful responses from large language models, particularly those in the Google ecosystem. You'll learn to craft clearer prompts, understand how AI interprets requests, and ultimately make your interactions with generative AI tools like Gemini more productive. If you're ready to boost your AI game and get better results from your digital conversations, this is a fantastic resource to explore.

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LLMs in Production From language models to successful products (Christopher Brousseau, Matthew Sharp) (anshx)
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38
Large Language Models
LLMs in Production From language models to successful products (Christopher Brousseau, Matthew Sharp) (anshx)
Anonymous by Anonymous
4.3 (3)

Ever wondered how those amazing AI chatbots actually get built and launched? This guide by Christopher Brousseau and Matthew Sharp pulls back the curtain on the journey from raw language models to fully functional, successful products. Discover the real-world challenges and practical solutions involved – from overcoming technical hurdles to navigating the complexities of user experience. Learn the secrets to building your own impactful AI application.

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