Thought Anchors: A Machine Learning Framework for Identifying and Measuring Key Reasoning Steps in Large Language Models with Precision

Thought Anchors: A Machine Learning Framework for Identifying and Measuring Key Reasoning Steps in Large Language Models with Precision

Understanding the Limits of Current Interpretability Tools in LLMs AI models, such as DeepSeek and GPT variants, rely on billions of parameters working together to handle complex reasoning tasks. Despite their capabilities, one major challenge is understanding which parts of their reasoning have the greatest influence on the final output. This is especially crucial for…

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13 steps & best practices to follow

13 steps & best practices to follow

An application programming interface enables software applications to interact with each other by controlling how requests are made and handled. Thanks to the rise of cloud computing and a shift from monolithic applications to microservices, application programming interfaces are a pivotal element in today’s digital world. There are likely millions of public APIs in use…

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Design a feedback loop compensator for a flyback converter in four steps

Design a feedback loop compensator for a flyback converter in four steps

Due to their versatility, ease of design, and low cost, flyback converters have become one of the most widely used topologies in power electronics. Its structure derives from one of the three basic topologies—specifically, buck-boost topology. However, unlike buck-boost converters, flyback topologies allow the voltage output to be electrically isolated from the input power supply….

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