In this tutorial, we build an advanced, end-to-end learning pipeline around Atomic-Agents by wiring together typed agent interfaces, structured prompting, and a compact retrieval layer that grounds ...
Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
Dependency injection can be thought of as a software engineering pattern as well as a framework. The goal is to describe and instantiate objects in a more composable, modular, and uniform way. The ...
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