What we learned from a year of building with LLMs
Ready to build real-world applications with large language models? With the pace of improvements over the past year, LLMs have become good enough for use in real-world applications. LLMs are also broadly accessible, allowing practitioners besides ML engineers and scientists to build intelligence int...
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O'Reilly Media, Inc.
2024
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author | Yan, Eugene Bischof, Bryan Frye, Charles Husain, Hamel Liu, Jason Shankar, Shreya |
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spelling | Yan, Eugene VerfasserIn aut What we learned from a year of building with LLMs by Eugene Yan, Bryan Bischof, Charles Frye, Hamel Husain, Jason Liu & Shreya Shankar First edition. Sebastopol, CA O'Reilly Media, Inc. 2024 1 online resource (64 pages) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references Ready to build real-world applications with large language models? With the pace of improvements over the past year, LLMs have become good enough for use in real-world applications. LLMs are also broadly accessible, allowing practitioners besides ML engineers and scientists to build intelligence into their products. In this report, six experts in AI and machine learning present crucial, yet often neglected, ML lessons and methodologies essential for developing products based on LLMs. Awareness of these concepts can give you a competitive advantage against most others in the field. Over the past year, authors Eugene Yan, Brian Bischof, Charles Frye, Hamel Husain, Jason Liu, and Shreya Shankar have been busy testing and refining these methodologies by building real-world applications on top of LLMs. In this report, they have distilled these lessons for the benefit of the community. Natural language generation (Computer science) Artificial intelligence Computer programs Génération automatique de texte Intelligence artificielle ; Logiciels Bischof, Bryan VerfasserIn aut Frye, Charles VerfasserIn aut Husain, Hamel VerfasserIn aut Liu, Jason VerfasserIn aut Shankar, Shreya VerfasserIn aut TUM01 ZDB-30-ORH TUM_PDA_ORH https://learning.oreilly.com/library/view/-/9781098176716/?ar X:ORHE Aggregator lizenzpflichtig Volltext |
spellingShingle | Yan, Eugene Bischof, Bryan Frye, Charles Husain, Hamel Liu, Jason Shankar, Shreya What we learned from a year of building with LLMs Natural language generation (Computer science) Artificial intelligence Computer programs Génération automatique de texte Intelligence artificielle ; Logiciels |
title | What we learned from a year of building with LLMs |
title_auth | What we learned from a year of building with LLMs |
title_exact_search | What we learned from a year of building with LLMs |
title_full | What we learned from a year of building with LLMs by Eugene Yan, Bryan Bischof, Charles Frye, Hamel Husain, Jason Liu & Shreya Shankar |
title_fullStr | What we learned from a year of building with LLMs by Eugene Yan, Bryan Bischof, Charles Frye, Hamel Husain, Jason Liu & Shreya Shankar |
title_full_unstemmed | What we learned from a year of building with LLMs by Eugene Yan, Bryan Bischof, Charles Frye, Hamel Husain, Jason Liu & Shreya Shankar |
title_short | What we learned from a year of building with LLMs |
title_sort | what we learned from a year of building with llms |
topic | Natural language generation (Computer science) Artificial intelligence Computer programs Génération automatique de texte Intelligence artificielle ; Logiciels |
topic_facet | Natural language generation (Computer science) Artificial intelligence Computer programs Génération automatique de texte Intelligence artificielle ; Logiciels |
url | https://learning.oreilly.com/library/view/-/9781098176716/?ar |
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