Archives AI News

Presentation: The Data Backbone of LLM Systems

paul iusztin medium 1756298947850

Drawing from his 8 years of experience in AI, Paul Iusztin breaks down the core components of a scalable architecture, emphasizing the importance of RAG. He shares practical patterns, including the Feature Training Inference architecture, and provides a detailed use case for creating a "Second Brain" AI assistant, covering everything from data pipelines to observability and agentic layers. By Paul Iusztin

Microsoft will add Anthropic’s Claude models to Office 365 apps alongside its OpenAI-powered features

Anthropic Microsoft Claude Copilot

Microsoft plans to bring Anthropic's Claude models to Office 365, according to a report from The Information. The Claude models will be integrated into Word, Excel, PowerPoint, and Outlook—running alongside Microsoft’s existing OpenAI-based models. The article Microsoft will add Anthropic’s Claude models to Office 365 apps alongside its OpenAI-powered features appeared first on THE DECODER.

Why Task-Based Evaluations Matter

This article is adapted from a lecture series I gave at Deeplearn 2025: From Prototype to Production: Evaluation Strategies for Agentic Applications. Task-based evaluations, which measure an AI system’s performance in use-case-specific, real-world settings, are underadopted and understudied. There is still an outsized focus in AI literature on foundation model benchmarks. Benchmarks are essential for advancing research and comparing broad, general capabilities, but they rarely translate cleanly into task-specific performance. The post Why Task-Based Evaluations Matter appeared first on Towards Data Science.