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About the Book
We take a dive into both general architectures for safe, human-first AI as well as concrete examples of building applications with LLMs with both prompt engineering and fine-tuning. While I favor using self-hosted LLMs for the technical book examples, most can also be used with OpenAI and Hugging Face APIs.
About the Author
Mark Watson is a consultant specializing in LLMs, deep learning, machine learning, knowledge graphs, and general artificial intelligence software development. He uses Common Lisp, Clojure, Python, Java, Haskell, and Ruby for development.
He is the author of 20+ published books on Artificial Intelligence, Deep Learning, Java, Ruby, Machine Learning, Common LISP, Clojure, JavaScript, Semantic Web, NLP, C++, Linux, and Scheme. He has 55 US Patents.
Mark's consulting customer list includes: Google, Capital One, Olive AI, CompassLabs, Disney, Sitescout.com, Embed.ly, and Webmind Corporation.