A paper from Amazon Science presented at AAAI 2026 found that agentic keyword search achieves 94.5% of RAG's faithfulness score without a vector database, suggesting retrieval quality increasingly com…
Amazon Web Services released best practices for multi-turn reinforcement learning in Amazon SageMaker AI, covering environment design, reward alignment, and evaluation. The guidance helps developers t…
Amazon researchers have identified a fundamental performance bottleneck in AI agent systems, formalizing it as the "intent-execution gap" — the mismatch between what an AI model intends to do and what…
Researchers at Amazon have developed a method to train large language models to generate multiple, diverse reasoning paths for the same problem, improving their decision-making accuracy. The team intr…