Natural language and machine translation

In this book, the authors systematically and comprehensively discuss textual emotion classification by using deep broad learning.

In this book, the authors systematically and comprehensively discuss textual emotion classification by using deep broad learning.

Step into the world of LLMs with this practical guide that takes you from the fundamentals to deploying advanced applications using LLMOps best practicesKey FeaturesBuild and refine LLMs step by step, covering data preparation, RAG, and fine-tuningLearn essential skills for deploying and monitoring LLMs, ensuring optimal performance in productionUtilize preference alignment, evaluation, and inference optimization to enhance performance and adaptability of your LLM applicationsBook DescriptionArtificial intelligence has undergone rapid advancements, and Large Language Models (LLMs) are at the forefront of this revolution.

This book enables readers to understand the challenges and opportunities of developing human-centered AI with commonsense reasoning abilities.

No detailed description available for "e;UX for Enterprise ChatGPT Solutions"e;.

"e;Careers in Information Technology: Artificial Intelligence (AI) Engineer"e; is a comprehensive guide designed for individuals aspiring to pursue a rewarding and dynamic career in the field of Artificial Intelligence.

"e;Careers in Information Technology: Computer Vision Engineer"e; offers a comprehensive exploration into the dynamic field of computer vision engineering.

This book provides a practical guide on annotating emotions in natural language data and showcases how these annotations can improve Natural Language Processing (NLP) and Natural Language Understanding (NLU) models and applications.

This book provides a practical guide on annotating emotions in natural language data and showcases how these annotations can improve Natural Language Processing (NLP) and Natural Language Understanding (NLU) models and applications.

The Practical, Step-by-Step Guide to Using LLMs at Scale in Projects and Products Large Language Models (LLMs) like Llama 3, Claude 3, and the GPT family are demonstrating breathtaking capabilities, but their size and complexity have deterred many practitioners from applying them.

No detailed description available for "e;Essential Guide to LLMOps"e;.

This book focuses on Entity Discovery and Linking (EDL), which is the problem of identifying concepts and entities, disambiguating them, and grounding them to one or more knowledge bases (KBs).

This book focuses on Entity Discovery and Linking (EDL), which is the problem of identifying concepts and entities, disambiguating them, and grounding them to one or more knowledge bases (KBs).

AI has acquired startling new language capabilities in just the past few years.