Scikit-learn, PyTorch, and TensorFlow remain core tools for structured data and deep learning tasks.New libraries like JAX, ...

This research addresses the importance of advancing text summarization by integrating NLP-Based Deep Learning techniques, particularly in abstractive summarization. The primary goal is to enhance ...

Explore the top AI tools and essential skills every data engineer needs in 2025 to stay ahead—covering data pipelines, ML ...

Text summarization is the process to create short and concise summaries from the text document with the aim of provide most important or salient content in a condensed form from the source document.