by Dr. Owns | Feb 25, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support
Imagine you’re building your dream home. Just about everything is ready. All that’s left to do is pick out a front door. Since the neighborhood has a low crime rate, you decide you want a door with a standard lock — nothing too fancy, but probably enough to deter...
by Dr. Owns | Feb 25, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support
A soufflé is a baked egg dish that originated in France in the 18th century. The process of making an elegant and delicious French soufflé is complex, and in the past, it was typically only prepared by professional French pastry chefs. However, with pre-made soufflé...
by Dr. Owns | Feb 25, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support
1. Introduction We’re all used to work with CSVs, JSON files… With the traditional libraries and for large datasets, these can be extremely slow to read, write and operate on, leading to performance bottlenecks (been there). It’s precisely with big amounts of data...
by Dr. Owns | Feb 25, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support
Deep Learning (DL) applications often require processing video data for tasks such as object detection, classification, and segmentation. However, conventional video processing pipelines are typically inefficient for deep learning inference, leading to performance...
by Dr. Owns | Feb 24, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support
Retrieval-Augmented Generation (RAG) is a powerful technique that enhances language models by incorporating external information retrieval mechanisms. While standard RAG implementations improve response relevance, they often struggle in complex retrieval scenarios....
by Dr. Owns | Feb 24, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support
Why Customize LLMs? Large Language Models (Llms) are deep learning models pre-trained based on self-supervised learning, requiring a vast amount of resources on training data, training time and holding a large number of parameters. LLM have revolutionized natural...
