How to Verify Any (Reasonable) Distribution Property: Computationally Sound Argument Systems for Distributions

As statistical analyses become more central to science, industry and society, there is a growing need to ensure correctness of their results. Approximate correctness can be verified by replicating the entire analysis, but can we verify without replication? Building on a recent line of work, we study proof-systems that allow a probabilistic verifier to ascertain …

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Customize Amazon Nova models to improve tool usage

Modern large language models (LLMs) excel in language processing but are limited by their static training data. However, as industries require more adaptive, decision-making AI, integrating tools and external APIs has become essential. This has led to the evolution and rapid rise of agentic workflows, where AI systems autonomously plan, execute, and refine tasks. Accurate …

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From insight to action: M-Trends, agentic AI, and how we’re boosting defenders at RSAC 2025

Cybersecurity is facing a unique moment, where AI-enhanced threat intelligence, products, and services are poised to give defenders an advantage over the threats they face that’s proven elusive — until now.   To empower security teams and business leaders in the AI era, and to help organizations proactively combat evolving threats, today at RSA Conference we’re …

Advanced Techniques to Build Your RAG System

This post is divided into three parts; they are: • Query Expansion and Reformulation • Hybrid Retrieval: Dense and Sparse Methods • Multi-Stage Retrieval with Re-ranking One of the challenges in RAG systems is that the user’s query might not match the terminology used in the knowledge base.