Data Science First: Using Language Models in AI-Enabled Applications

Data Science First is your gateway to harnessing the power of language models in AI-enabled applications. This book is structured to guide through the essentials of data science, from semantic vectors to zero-shot prompting and synthetic data generation. Unlock the potential of AI with insights into automated analytics and agentic AI.

What You'll Learn

• Understand the fundamentals of language models
• Master tools and terminology in data science
• Explore semantic vectors and interpretability
• Learn zero-shot to few-shot prompting techniques
• Generate and apply synthetic data in real-world scenarios
• Implement retrieval applications and code as language

Who This Book Is For

This book is ideal for data science students, AI practitioners, and professionals eager to explore advanced AI applications. It assumes basic familiarity with programming concepts.

What You Need to Know First

A foundational understanding of programming and data manipulation techniques is recommended. Familiarity with AI concepts will enhance your learning experience.

Why This Book

Unlike other books, this work dives into the practical application of language models in AI, offering a unique blend of theory and real-world application. Its structured approach makes complex concepts accessible.

What's Inside

Authored by John Hawkins and published by John Wiley & Sons, Inc., this 366-page volume covers 12 chapters of comprehensive data science and AI insights.