At its GitHub Universe 2025 conference in San Francisco, Microsoft announced a major update to its AI Toolkit for Visual Studio Code, introducing a “prompt-first” approach to simplify AI agent ...

Abstract: Generalized zero-shot learning aims to recognize both seen and unseen classes with the help of semantic information that is shared among different classes. It inevitably requires consistent ...

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 ...

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: ...

When using Function Calls in a Semantic Kernel Prompt Template, and naming an injected KernelArgument to be passed to the function. The argument is converted to a str() by the VarBlock causing the ...

In this tutorial, we build an advanced AI agent using Semantic Kernel combined with Google’s Gemini free model, and we run it seamlessly on Google Colab. We start by wiring Semantic Kernel plugins as ...

Recent developments in AI highlight vulnerabilities in multimodal models due to semantic prompt injections, urging a shift from input filtering to output-level defenses. The evolution of artificial ...

Hi @moonbox3 - thanks. Yes it would be great if you could spell out in the docs that chat is backed by our own deployed model and that there is no fall through to an OpenAI hosted model. Nice to have ...

The growing adoption of open-source large language models such as Llama has introduced new integration challenges for teams previously relying on proprietary systems like OpenAI’s GPT or Anthropic’s ...

Abstract: Existing leading remote sensing change detection (RSCD) often takes a semantic-agnostic learning paradigm, which uses a binary ground-truth mask as supervision for model training. Despite ...