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What a year it's been since the last Black Friday! We've seen AI-driven changes in every industry, new takes on classic topics like algorithms and systems programming, and even a few more good reasons to brush up on your maths. Time to skill up with these Manning books, because who knows what 2026 will hold?
Author Nathan Lambert blends diverse perspectives from fields like philosophy and economics with the core mathematics and computer science of RLHF to provide a practical guide you can use to apply RLHF to your models. [Read more]
AI guru Ilya Sutskever made the bold claim that most of what you need to know about modern AI is captured in 30 seminal research papers on deep learning. What did Ilya see? Read through this book and you’ll uncover the breakthroughs, ideas, and mental models that shaped his vision and much more, all clearly explained and interpreted by veteran author and teacher Richard Heimann. [Read more]
5 chapters of this MEAP are available now, with more to follow soon!
