Description
Artificial intelligence has achieved amazing new language capabilities in just the past few years. Driven by rapid advances in deep learning, AI systems are now able to write and understand more text than ever before. This trend is enabling entirely new features, products, and industries. This book teaches readers the tools and practical concepts they need to use these capabilities in today’s world. Readers will learn how to use large, pre-trained language models for things like copywriting and summarization; build semantic search systems that go beyond keyword matching; and leverage existing libraries and pre-trained models for text classification, search, and clustering.
This book also helps readers understand the architecture of transformer language models that excel at text generation and representation; build advanced pipelines of large language models for text document clustering; build semantic search engines beyond keyword search with methods such as dense retrieval and re-ranking; explore how to use generative models from prompt engineering to augmented production with retrieval; and gain a deeper understanding of how to train large language models and optimize them for specific applications using generative model fine-tuning, contrastive fine-tuning, and in-text learning.
Book Features
- Teaching practical tools and concepts for using modern AI linguistic capabilities in real projects
- Learn how to apply pre-trained models to things like copywriting and text summarization
- Investigating the structure and architecture of Transformer language models to better understand text production and display
- Building advanced semantic search systems and engines beyond simple keyword matching
- Using modern dense retrieval and re-ranking methods to improve search results
- Investigating the application of generative models from the prompt engineering stage to additive manufacturing with recovery
- Learn how to optimize and train large language models using fine-tuning methods.
Book specifications
- Publisher: Oreilly
- Instructor/Author: Jay Alammar
- Number of pages: 416
- Number of chapters: 12
- Format: PDF/AUDIO
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