Step-by-step, learn to train and test neural conversational models using widely available datasets and code libraries. Handy colab notebooks walk through key phases like designing dialogue flows, collecting training data, and evaluating bot performance. Expand capabilities by integrating external knowledge sources, deploying chatbots on web and mobile interfaces, and architecting context-aware neural networks.

Whether interested in virtual assistants, customer service bots, creative writing aids, or other use cases, unlock new possibilities with conversational AI tailored to your needs. The book covers

- Fundamentals of natural language processing and neural network architectures powering chatbots

- Structuring conversational logic with dialog trees and training on real dialog data

- Adapting tone, style and capabilities by constructing personalized model datasets

- Integrating external knowledge sources like databases and APIs for accurate, relevant responses

- Deploying chatbots on platforms like websites, messaging apps and voice assistants

- Architectures for multi-turn coherence, user personalization and contextual reasoning

- Ethical considerations for responsible advancement of AI chatbots

Democratization of conversational AI allows anyone to start building helpful, harmless chatbots. This book provides the perfect on-ramp whether you’re a student, hobbyist, or aspiring entrepreneur. Come master this transformative technology and craft an AI assistant with impact.