While AI systems today may seem like revolutions in technology, even the most cutting-edge agents and frontier models are built from basic techniques honed over many decades. This chapter will take us through the development of machine learning models and modern AI systems.
We’ll start with approaches used for computer vision and signal processing, then step through the major machine learning methods: supervised, unsupervised, and reinforcement learning. From there, we’ll expand our view to AI systems by covering multimodal models (systems that combine text, images, or other inputs), models that connect and retrieve information ...
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