Traditional machine learning tools have limits when it comes to getting insights out of data; that's where AI comes in.
A factory analogy demystifies how Transformers power AI like GPT -- perfect for non-data scientists seeking to grasp the basics.
- By Pure AI Editors
- 05/01/2025
Most agentic AI deployments will fall flat this year -- except for the enterprises with the right data building blocks.
Why vertical integration and strategic partnerships are key to making AI accessible, scalable and profitable.
When the AI bubble bursts, identity security will be one of the use cases that survives.
"We are going to see [AI models] learn to do things we did not expect it to do."
Anyone who uses or buys AI services should understand that a vector is a sequence of numbers, an embedding is a word translated to a vector, and a kernel is a math function that gives a measure of the similarity between two vectors.
- By Pure AI Editors
- 04/01/2025
The AI agents are coming, and with them a whole new host of "interconnections and chokepoints."
A smart AI strategy starts with understanding your environment -- and partnering with people who know how to navigate it.
On having a "startup mindset" and the surprisingly different AI consumption habits of enterprises.