У нас вы можете посмотреть бесплатно Large Language Model-Based Solutions: How to Deliver Value with Cost-Effective Generative AI или скачать в максимальном доступном качестве, видео которое было загружено на ютуб. Для загрузки выберите вариант из формы ниже:
Если кнопки скачивания не
загрузились
НАЖМИТЕ ЗДЕСЬ или обновите страницу
Если возникают проблемы со скачиванием видео, пожалуйста напишите в поддержку по адресу внизу
страницы.
Спасибо за использование сервиса ClipSaver.ru
Listen to this audiobook in full for free on https://hotaudiobook.com Title: Large Language Model-Based Solutions: How to Deliver Value with Cost-Effective Generative AI Applications Author: Shreyas Subramanian Narrator: Daniel Henning Format: Unabridged Length: 09:00:00 Language: English Release date: 11-19-2024 Publisher: Ascent Audio Genres: Science & Technology, Computers Summary: In Large Language Model-Based Solutions: How to Deliver Value with Cost-Effective Generative AI Applications, Principal Data Scientist at Amazon Web Services, Shreyas Subramanian, delivers a practical guide for developers and data scientists who wish to build and deploy cost-effective large language model (LLM)-based solutions. In the book, you'll find coverage of a wide range of key topics, including how to select a model, pre- and post-processing of data, prompt engineering, and instruction fine-tuning. The author sheds light on techniques for optimizing inference, like model quantization and pruning, as well as different and affordable architectures for typical generative AI (GenAI) applications, including search systems, agent assists, and autonomous agents. You'll also find: ● Effective strategies to address the challenge of the high computational cost associated with LLMs ● Assistance with the complexities of building and deploying affordable generative AI apps, including tuning and inference techniques ● Selection criteria for choosing a model, with particular consideration given to compact, nimble, and domain-specific models