AI in electronics: Quilter’s journey in PCB design
Gradient Dissent: Conversations on AI
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Refinement and Deployment of Reinforcement Learning Models
The chapter explores adapting and refining models for deployment, emphasizing controlling complexity in models, addressing constraints in the game environment, and improving regression testing for speed enhancements. The focus is on speeding up the environment for quicker cycle times in training and production and effectively managing user expectations.
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