LLM-Based Code Generation Faces a Verification Gap LLMs have shown strong performance in programming and are widely adopted in tools like Cursor and GitHub Copilot to boost developer productivity. However, due to their probabilistic nature, LLMs cannot provide formal guarantees…

Anthropic’s latest research investigates a critical security frontier in artificial intelligence: the emergence of insider threat-like behaviors from large language model (LLM) agents. The study, “Agentic Misalignment: How LLMs Could Be Insider Threats,” explores how modern LLM agents respond when…

In this tutorial, we’ll implement content moderation guardrails for Mistral agents to ensure safe and policy-compliant interactions. By using Mistral’s moderation APIs, we’ll validate both the user input and the agent’s response against categories like financial advice, self-harm, PII, and…

Or: Why “Can we turn off generation” might be the smartest question in generative AI Not long ago, I found myself in a meeting with technical leaders from a large enterprise. We were discussing Parlant as a solution for building…

In this tutorial, we walk you through the design and implementation of a custom agent framework built on PyTorch and key Python tooling, ranging from web intelligence and data science modules to advanced code generators. We’ll learn how to wrap…

The Challenge of Scaling 3D Environments in Embodied AI Creating realistic and accurately scaled 3D environments is essential for training and evaluating embodied AI. However, current methods still rely on manually designed 3D graphics, which are costly and lack realism,…