Every data engineering team right now is being asked the same question: "How do we build a chatbot that talks to our data?" The prototypes are deceptively simple. A developer connects GPT-5.1 to a ...

You followed the SEO playbook. You carefully selected keywords, analyzed competing content, and published long‑form articles that filled gaps in coverage for dozens of topics. Yet your Google rankings ...

From the standard types, it seems like we're misisng only DateTimeOffset and string[]. DateTimeOffset seems fairly straightforward, as SQL Server has a datetimeoffset date type which corresponds ...

Semantic SEO helps search engines understand context. Learn how to use entities, topics, and intent to build richer content that ranks higher. Semantic SEO aims to describe the relationships between ...

Workflow is still at the heart of the new framework. Building on the strengths of the Semantic Kernel and AutoGen agent implementations, the new framework offers support for workflow orchestration and ...

Microsoft is streamlining AI agent development with the launch of its new open-source Microsoft Agent Framework. The new SDK, now in public preview, unifies two of its popular but separate toolkits: ...

Microsoft’s multi-agent framework, AutoGen, acts as the backbone for many enterprise projects, particularly with the release of AutoGen v0.4 in January. However, the company aims to harmonize all of ...

Linux kernel developers are already using AI. AI helps Linux programmers, but they're careful how they use it. Linux kernel maintainers must decide key AI policy issues. Get more in-depth ZDNET: Add ...

BM25Ranker: A classic ranking function widely used in search engines, based on term frequency and document length normalization. This ranker supports sophisticated tokenization, lemmatization, stop ...

ABSTRACT: SQL injection attacks pose a critical threat to web application security, exploiting vulnerabilities to gain access, or modify sensitive data. Traditional rule-based and machine learning ...

What if you could simplify the complexities of natural language processing (NLP) without sacrificing accuracy or efficiency? For years, developers and researchers have wrestled with the steep learning ...