Modern business intelligence demands speed, and utilizing AI tools for Excel is the ultimate way to hyper-charge your data workflows this year.

Retrieval-augmented generation enhances the performance of AI agents by expanding their recall. It can do this in three ...

Multi-agent AI agent personality shapes outcomes in collaborative and negotiation workflows but not in structured coding, ...

Microsoft has launched a four-part developer series explaining how to build a CLI-style AI agent that can plan tasks, use tools, retain information, and ...

Agentic workflows are artificial intelligence-powered software systems that chain together multiple models and external tools ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. In this eMag, we try to establish agentic AI ...

Abstract: As a new and disruptive technology, the introduction of large language models (LLMs) may be the first step into a paradigm shift of how we develop and deploy software-intensive systems.

midscene-python/ ├── midscene/ # Core framework │ ├── core/ # Core framework │ │ ├── agent/ # Agent system │ │ ├── insight/ # AI inference engine │ │ ├── ai_model/ # AI model integration │ │ ├── yaml/ ...

Your AI agents call tools, browse the web, query databases, and delegate to other agents. Once deployed, they make decisions autonomously. You need answers to three questions: 2. Which agent did this?

The U.S. Cybersecurity and Infrastructure Security Agency (CISA) on Monday added a high-severity flaw impacting BerriAI LiteLLM to its Known Exploited Vulnerabilities (KEV) catalog, citing evidence of ...

I'll explore how integrating a comprehensive AI-driven onboarding framework can provide a realistic, effective blueprint for modern financial institutions.