Get Your Free Audiobook
-
Large Language Model-Based Solutions
- How to Deliver Value with Cost-Effective Generative AI Applications
- Narrated by: Daniel Henning
- Length: 11 hrs and 42 mins
Failed to add items
Add to cart failed.
Add to wishlist failed.
Remove from wishlist failed.
Follow podcast failed
Unfollow podcast failed
New to Audible Prime Member exclusive: 2 credits with free trial
Large Language Model-Based Solutions
Buy Now for ₹469.00
No valid payment method on file.
We are sorry. We are not allowed to sell this product with the selected payment method
Publisher's 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