The Business & Financial Times on MSN
AI’s engine room: How retrieval-augmented generation (RAG) is transforming the future of trustworthy intelligence
By Kwami Ahiabenu, PhDAI’s power is premised on cortical building blocks. Retrieval-Augmented Generation (RAG) is one of such building blocks enabling AI to produce trustworthy intelligence under a ...
The blog recommended that users learn to train their own AI models by downloading the Harry Potter dataset and then uploading text files to Azure Blob Storage. It included example models based on a ...
Dot Physics on MSN
Learn how to model a mass and spring using Python
Learn how to model a mass-spring system using Python in this step-by-step tutorial! 🐍📊 Explore how to simulate oscillations, visualize motion, and analyze energy in a spring-mass system with code ...
SurrealDB 3.0 launches with $23M in new funding and a pitch to replace multi-database RAG stacks with a single engine that handles vectors, graphs, and agent memory transactionally.
3d
The $380B orchestration bet: Understanding the ‘coding wedge’ as AI labs move beyond the model layer
What has been called the “SaaSpocalypse” isn’t about software dying. It’s about control — specifically, who controls the orchestration layer of enterprise AI. And right now, that battle is ...
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