Large Language Models (LLMs) are quickly transforming the domain of Artificial Intelligence (AI), driving innovations from customer service chatbots to advanced content generation tools. As these models grow in size and complexity, it becomes more challenging to ensure their outputs are always accurate, fair, and relevant. To address this issue, AWS’s Automated Evaluation Framework offers […]<br /> The post Transforming LLM Performance: How AWS’s Automated Evaluation Framework Leads the Way appeared first on Unite.AI. [...]
Amazon Web Services is threading its AI-powered security infrastructure directly into the coding environments built by two of its fiercest rivals — and in doing so, it is making a bold bet that cont [...]
Across 157 enterprises, organizations are granting AI agents more autonomy while trusting the evaluations meant to gate that autonomy less. Half have already shipped an agent that passed their interna [...]
Amazon Web Services on Tuesday launched one of the most consequential enterprise AI plays in the company's 20-year history, simultaneously bringing OpenAI's most powerful models to its Bedro [...]
Amazon Web Services on Tuesday announced a new class of artificial intelligence systems called "frontier agents" that can work autonomously for hours or even days without human intervention, [...]
As LLMs have continued to improve, there has been some discussion in the industry about the continued need for standalone data labeling tools, as LLMs are increasingly able to work with all types of d [...]
AWS is leveraging automated reasoning, which uses math-based verification, to build out new capabilities in its Amazon Bedrock AgentCore platform as the company digs deeper into the agentic AI ecosyst [...]
Vector databases emerged as a must-have technology foundation at the beginning of the modern gen AI era. What has changed over the last year, however, is that vectors, the numerical representations o [...]