Abstract: With the emergence of audio-language models, constructing large-scale paired audio-language datasets has become essential yet challenging for model development, primarily due to the ...
A comprehensive Artificial Neural Network project for predicting customer churn using deep learning.
This project implements an Artificial Neural Network (ANN) to predict whether a customer will leave a bank. It includes model training, evaluation, and deployment with an interactive Streamlit web ...
In this tutorial, we show how we treat prompts as first-class, versioned artifacts and apply rigorous regression testing to large language model behavior using MLflow. We design an evaluation pipeline ...
Abstract: With Python's ascension as a dominant program-ming language, particularly in the fields of artificial intelligence and data science, the need for comprehensive datasets focusing on software ...
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