Large Language Model-Based Solutions
How to Deliver Value with Cost-Effective Generative AI Applications
Impossible d'ajouter des articles
Échec de l’élimination de la liste d'envies.
Impossible de suivre le podcast
Impossible de ne plus suivre le podcast
Large Language Model-Based Solutions
Acheter pour 12,56 €
-
Lu par :
-
Daniel Henning
-
De :
-
Shreyas Subramanian
À propos de ce contenu audio
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
©2024 John Wiley & Sons, Inc. (P)2024 Ascent Audio
Vous êtes membre Amazon Prime ?
Bénéficiez automatiquement de 2 livres audio offerts.Bonne écoute !
