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2024

Running State: Enhancing Short-Term Memory in AI Agents

In the rapidly evolving field of artificial intelligence, chat agents have become integral to customer service, technical support, online sales, and more. These agents solve complex tasks by breaking them down into smaller, manageable sub-tasks, and utilizing tools to retrieve knowledge and perform actions. Additionally, they memorize the context of conversations to make informed decisions.

scikit-learn Pipelines

Introduction

Machine learning projects frequently require a sequence of preprocessing tasks to prepare the data for model training. Such tasks can range from filling in missing values and normalizing numerical data to encoding categorical data. The scikit-learn library simplifies this process through its Pipeline class. This handy tool allows to bundle the preprocessing steps and model training into one unified workflow, acting much like an individual estimator.