Last week, Grok 4, the large language model (LLM) developed by xAI and deployed on X (formerly Twitter), made headlines for all the wrong reasons.

‍ AI agents offer enterprises a transformational leap—not just in what gets done, but how it gets done. Their impact stems from the powerful intersection of: Speed AI agents operate 24/7 without ...

Towards open and responsible AI In recent years, the growing focus on responsible AI has sparked the development of various libraries aimed at addressing bias measurement and mitigation. Among these, ...

Discover how to protect your enterprise from Shadow AI risks. Learn to detect unauthorized AI usage, ensure compliance, and securely harness AI's potential.

Discover Human-in-the-Loop AI: integrating human expertise with AI to ensure accuracy, ethical compliance, and adaptability in today’s technology landscape.

This blog post will provide an overview of what data contamination is, why it can be harmful, how to detect it, and how to mitigate it in the context of LLMS.

This blog post explores the essential role of LLM monitoring, including its significance, the challenges faced, and future trends in this vital aspect of AI oversight.

This blog post presents a comprehensive catalogue of benchmarks, categorized by their complexity, dynamics, assessment targets, downstream task specifications, and risk types.

Bias in artificial intelligence systems is a critical issue that affects fairness and trust in these technologies. It can manifest in various forms, such as gender, race, age, and socio-economic ...

Discover how combining knowledge graphs with Retrieval-Augmented Generation (RAG) enhances LLMs for accurate, contextual, and reliable responses.

AI Assurance is the process of declaring that a system conforms to predetermined standards, practices or regulations.

On Sunday 7 April 2024, US senators announced a discussion draft for a bipartisan proposal for the American Privacy Rights Act (APRA), which would have important ...