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Reasoning Models

2 GoKawiil briefs on this topic

Sebastian Raschka releases 8-part video course on building reasoning models in PyTorch

AI researcher Sebastian Raschka has published an 11-hour, eight-video course accompanying his book 'Build Reasoning Model (From Scratch),' which teaches how to implement reasoning model techniques such as inference scaling, reinforcement learning, and distillation using PyTorch. The course builds on a pre-trained LLM and is positioned as a sequel to his earlier 'Coding LLMs from the Ground Up' course, though it can be watched independently.

AI industry shifts focus from training to inference workloads in 2026

Major AI labs have moved their attention from building ever-larger models to running inference—the process of using trained models to generate text, code, and images. This shift is driven by growing real-world use of large language models, the rise of reasoning models that repeatedly reprompt themselves, and autonomous AI agents that run continuously rather than just responding to single queries. Amazon Web Services, for instance, has split inference tasks between its Trainium chips and Cerebras's wafer-scale hardware.