Ongoing research into AI agent framework security identified an exploit chain in AutoGen Studio (AutoGen’s open-source prototyping user interface) that allows untrusted web content rendered by a ...

AI agents have fundamentally changed the threat model of AI model-based applications. By equipping these models with plugins (also called tools), your agents no longer just generate text; they now ...

Turri, V., Schieber, N., Loughin, C., and Brooks, T., 2026: The ELM Library: An LLM Evaluation Toolset. Software Engineering Institute blog, Accessed June 18, 2026 ...

Source: VentureBeat created with Imagen. MCP's STDIO transport, the default for connecting an AI agent to a local tool, executes any operating system command it receives. No sanitization. No execution ...

Prompt engineering is the practice of writing clear, purposeful inputs that guide AI models to deliver accurate and context-aware outputs. It’s become a foundational skill across AI-assisted workflows ...

In the pre-large language model (LLM) Stack Overflow era, the challenge was discerning which code snippets to adopt and adapt effectively. Now, while generating code has become trivially easy, the ...

Evaluate the effectiveness of Microsoft’s Python Risk Identification Toolkit (PyRIT) for agentic AI red teaming. Address evolving autonomous AI system threats.

Learn how to extract, summarize, and analyze YouTube video transcripts using LangChain, Ollama, and Python. AI agents are everywhere right now. New implementations, fresh ideas, and endless ...

HANDS ON Getting large language models to actually do something useful usually means wiring them up to external data, tools, or APIs. The trouble is, there's no standard way to do that - yet.

Generative AI models like #GPT-3 and #GPT-4 have revolutionized the way we interact with technology. Whether it's writing articles, creating poems, or generating creative ideas, these models can ...

Natural-language dialog is key for an intuitive human–robot interaction. It can be used not only to express humans’ intents but also to communicate instructions for improvement if a robot does not ...

Prompt engineering is the process of creating and refining input prompts to guide AI models, especially those using natural language processing (NLP). This involves designing inputs that help AI ...