AI That Quacks: Introducing DuckDB-NSQL-7B, A LLM for DuckDB
“Generating hundreds of thousands of models on granular data versus only ten, twenty, or one hundred that we used to be able to run on aggregate data is really the key difference between what we can do now and what we will be able to do with high-performance computing.”
Thomas H. Davenport • Big Data at Work: Dispelling the Myths, Uncovering the Opportunities
A couple months ago, Oxford and Cambridge researchers illustrated the risk of homogeneity in a study of AI Generated content in Nature magazine. The risk increases as AI gets trained not only on human-created content, but on other AI-generated content.
As an example, the researchers studied an AI model trained on images of different breeds of dogs.
... See moretomfishburne • AI-Generated Homogeneity
A Tutorial on Teaching Data Analytics with Generative AI
The tutorial explores innovative teaching techniques for data analytics courses using generative AI, emphasizing natural-language programming and collaborative AI tutoring sessions to enhance student engagement and productivity.
kellogg.northwestern.edu
Introducing Wren Engine
The advent of Trend AI agents has revolutionized the landscape of business intelligence and data management. In the near future, multiple AI agents will be deployed to harness and interpret vast amounts of internal knowledge stored within databases and data warehouses. To facilitate this, a semantic engine is crucial. This e... See more
The advent of Trend AI agents has revolutionized the landscape of business intelligence and data management. In the near future, multiple AI agents will be deployed to harness and interpret vast amounts of internal knowledge stored within databases and data warehouses. To facilitate this, a semantic engine is crucial. This e... See more