, have worked with machine learning or large-scale data pipelines, chances are you’ve used some sort of queueing system. Queues let services talk to each
Synthetic data are artificially generated by algorithms to mimic the statistical properties of actual data, without containing any information from real-world sources. While concrete numbers
Evaluating large language models (LLMs) is not straightforward. Unlike traditional software testing, LLMs are probabilistic systems. This means they can generate different responses to identical
One of the coolest things taht we like to write about at Smart Data Collective is how people are using AI to launch new business
Caroline Uhler is an Andrew (1956) and Erna Viterbi Professor of Engineering at MIT; a professor of electrical engineering and computer science in the Institute for
was a Roman ruler known for his military strategies and excellent leadership. Named after him, the Caesar Cipher is a fascinating cryptographic technique that Julius
Since Ryan took over as the head of Smart Data Collective, we have been committed to exploring how AI technologies has started to change healthcare
trees are intuitive, flowchart-like models widely used in machine learning. In machine learning, they serve as a fundamental building block for more complex ensemble models
Implementing Production-Grade Analytics on a Databricks Data Warehouse High-concurrency, low-latency data warehousing is essential for organizations where data drives critical business decisions. This means supporting
has become prevalent since the introduction of LLMs in 2022. Retrieval augmented generation (RAG) systems quickly adapted to utilizing these efficient LLMs for better question