Why companies overwhelmingly choose OpenAI for AI work today--and why a shift to competitors like Google, Meta or Anthropic could happen fast, according to AI expert Dr. James McCaffrey.
- By Pure AI Editors
- 08/01/2025
Get ready for the lakehouse evolution into an AI-native platform that thinks, learns and scales alongside data analysts.
With AI-driven, application-centric management across hybrid environments, it's a new era in network security.
A clear, mid-level explainer of the Attention mechanism at the heart of AI models like GPT for technical professionals who want to understand how models process input.
- By Pure AI Editors
- 07/01/2025
Reinforcement learning is key to how LLMs like ChatGPT improve and avoid mistakes -- but it also introduces potential bias. We break down how it works and why understanding it matters for anyone using or building with AI.
- By Pure AI Editors
- 06/02/2025
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
Your guide to local, global and virtual events that every enterprise should attend to stay ahead of AI trends and technologies.
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
Retrieval-augmented generation (RAG) and vector databases are essential parts of all modern AI systems that use natural language. You should understand RAG and its underlying technology, vector databases, in order to make good business decisions related to buying and implementing AI systems.
- By Pure AI Editors
- 03/03/2025
What big-ticket deals and strategic moves are driving the booming generative AI economy? From massive datacenter buildouts to blockbuster acquisitions, keep track of the most notable investments here.