- Transformers for Natural Language Processing: Build, train, and fine-tune deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, and GPT-3, 2nd Edition
- Context Engineering for Multi-Agent Systems: Move beyond prompting to build a Context Engine, a transparent architecture of context and reasoning
- Python: Beginner's Guide to Artificial Intelligence: Build applications to intelligently interact with the world around you using Python
- Hands-On Explainable AI (XAI) with Python: Interpret, visualize, explain, and integrate reliable AI for fair, secure, and trustworthy AI apps
- Artificial Intelligence By Example: Acquire advanced AI, machine learning, and deep learning design skills, 2nd Edition








