by | Jul 15, 2024 | Analytics, Artificial Intelligence, Data and Information, Decision Support
What are they, and how do you use them?Continue reading on Towards Data Science » What are they, and how do you use them?Continue reading on Towards Data Science » pyspark, data-engineering, data-science, spark, tips-and-tricks Towards Data Science –...
by | Jul 15, 2024 | Analytics, Artificial Intelligence, Data and Information, Decision Support
Experiences from building LLM-based (Mistral 7B) biomedical question-answering system on top of Qdrant and OpenSearch indices with hallucination detection methodLast September (2023), we embarked on the development of the VerifAI project, after receiving funding from...
by | Jul 15, 2024 | Analytics, Artificial Intelligence, Data and Information, Decision Support
Three Reasons Why Developers Should Use DuckDBHow software developers can use DuckDB for data analysisSoftware developers have to wear many hats: from writing code, designing systems to analysing data dumps during an incident. Most of our tools are optimised for the...
by | Jul 15, 2024 | Analytics, Artificial Intelligence, Data and Information, Decision Support
“Correlation does not mean causation.” So let’s calculate causation.Continue reading on Towards Data Science » “Correlation does not mean causation.” So let’s calculate causation.Continue reading on Towards Data Science » causal-inference, data-analysis,...
by | Jul 15, 2024 | Analytics, Artificial Intelligence, Data and Information, Decision Support
Recommendation SystemsCurrent ML models can recommend similar products, but how about complementary?In the domain of AI Recommendation Systems, Machine Learning models have been heavily used to recommend similar samples, whether products, content or even suggesting...
by | Jul 15, 2024 | Analytics, Artificial Intelligence, Data and Information, Decision Support
Implementation of Denoising Diffusion Probabilistic Models (DDPM)DDPM Example on MNIST — Image by the AuthorIntroductionA diffusion model in general terms is a type of generative deep learning model that creates data from a learned denoising process. There are many...
