Large language model-based solutions : how to deliver value with cost-effective generative AI applications / Shreyas Subramanian.

Format:

Sound recording

Author/Creator:

Subramanian, Shreyas, author.

Contributor:

Henning, Daniel, narrator.

Language:

English

Subjects (All):

Natural language generation (Computer science).

Artificial intelligence--Computer programs.

Artificial intelligence.

Physical Description:

1 online resource (1 sound file (11 hr., 42 min.))

Edition:

[First edition].

Place of Publication:

Rego Park : Ascent Audio, 2024.

[Place of publication not identified] : Ascent Audio, [2024]

System Details:

audio file

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.

Participant:

Narrator: Daniel Henning.

Notes:

Unabridged.

OCLC-licensed vendor bibliographic record.

ISBN:

9781663749291

OCLC:

1477969412