Hands-On Small Language Models
Practical Patterns for Building Efficient Applications with Slms
$118.60
- Paperback
275 pages
- Release Date
2 March 2027
Summary
Large language models have reshaped what’s possible in AI–but their size, cost, and complexity can make them difficult to use in real-world production. Small language models (SLMs) offer a more practical alternative: they’re efficient, focused, and built for applications that demand agility, privacy, and control. Hands-On Small Language Models provides a hands-on guide to understanding, building, and deploying these compact models to power specialized agentic applications.
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Book Details
| ISBN-13: | 9798341670723 |
|---|---|
| Author: | Alex Thomas |
| Publisher: | O'Reilly Media |
| Imprint: | O'Reilly Media |
| Format: | Paperback |
| Number of Pages: | 275 |
| Release Date: | 2 March 2027 |
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Alex Thomas
Alex Thomas is a Principal Data Scientist at John Snow Labs. He has extensive experience applying natural language processing, machine learning, and knowledge graphs to diverse datasets, including clinical, identity, job, biochemical, and contract data. He was instrumental in the initial design of Spark NLP and currently focuses on evaluating Large Language Models and their practical applications.
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