Transformers for Natural Language processing, 3E

Key Features

• Compare and contrast 20+ models (including GPT, BERT, and Llama) and multiple platforms and libraries to find the right solution for your project
• Apply RAG with LLMs using customized texts and embeddings
• Mitigate LLM risks, such as hallucinations, using moderation models and knowledge bases

Who this book is for

This book is ideal for NLP and CV engineers, data scientists, machine learning practitioners, software developers, and technical leaders looking to advance their expertise in LLMs and generative AI or explore latest industry trends.

Familiarity with Python and basic machine learning concepts will help you fully understand the use cases and code examples. However, hands-on examples involving LLM user interfaces, prompt engineering, and no-code model building ensure this book remains accessible to anyone curious about the AI revolution.