Large Language Model-Based Solutions How to Deliver Value with Cost-Effective Generative AI Applications (Tech Today)

booksz

U P L O A D E R
6d3612f237eabeb6a8769909d0b7d457.jpg

Free Download Large Language Model-Based Solutions: How to Deliver Value with Cost-Effective Generative AI Applications (Tech Today) by Shreyas Subramanian
English | May 7th, 2024 | ISBN: 1394240724 | 224 pages | True EPUB | 15.53 MB
Learn to build cost-effective apps using Large Language Models

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
Perfect for developers and data scientists interested in deploying foundational models, or business leaders planning to scale out their use of GenAI, Large Language Model-Based Solutions will also benefit project leaders and managers, technical support staff, and administrators with an interest or stake in the subject.




Code:
Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!
Links are Interchangeable - Single Extraction
 
Kommentar

In der Börse ist nur das Erstellen neuer Download-Angebote erlaubt! Ignorierst du das, wird dein Beitrag ohne Vorwarnung gelöscht. Ein Eintrag ist offline? Dann nutze bitte den Link  Offline melden . Möchtest du stattdessen etwas zu einem Download schreiben, dann nutze den Link  Kommentieren . Beide Links findest du immer unter jedem Eintrag/Download.

Data-Load.in | Dataload.in

Auf Data-Load.in findest du Links zu kostenlosen Downloads für Filme, Serien, Dokumentationen, Anime, Animation & Zeichentrick, Audio / Musik, Software und Dokumente / Ebooks / Zeitschriften. Wir sind deine Boerse für kostenlose Downloads!

Ist Data-Load.in / Dataload.in legal?

Data-Load.in ist nicht illegal. Es werden keine zum Download angebotene Inhalte auf den Servern von Data-Load.in gespeichert.
Oben Unten