venturebeat
AWS goes beyond prompt-level safety with automated reasoning in AgentCore

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 ecosystem. Announced during its annual re: Invent conference in Las Vegas, AWS is adding three new capabilities to AgentCore: "policy," "evaluations" and "episodic memory." The new features aim to give enterprises more control over agent behavior and performance. AWS also revealed what it calls “a new class of agents," or "frontier agents," that are autonomous, scalable and independent. Swami Sivasubramanian, AWS VP for Agentic AI, told VentureBeat that many of AWS’s new features represent a shift in who becomes a builder. “We are actually on the [...]

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venturebeat
Microsoft built Phi-4-reasoning-vision-15B to know when to think — and when thinking is a waste of time

Microsoft on Tuesday released Phi-4-reasoning-vision-15B, a compact open-weight multimodal AI model that the company says matches or exceeds the performance of systems many times its size — while co [...]

Match Score: 174.75

venturebeat
Amazon's new AI can code for days without human help. What does that mean for software engineers?

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, [...]

Match Score: 159.06

venturebeat
Phi-4 proves that a 'data-first' SFT methodology is the new differentiator

AI engineers often chase performance by scaling up LLM parameters and data, but the trend toward smaller, more efficient, and better-focused models has accelerated. The Phi-4 fine-tuning methodology [...]

Match Score: 124.08

venturebeat
Agent coordination is the missing piece in AI commerce — new AWS and Visa blueprints target the gap

With some needed infrastructure now being developed for agentic commerce, enterprises will want to figure out how to participate in this new form of buying and selling. But it remains a fragmented Wil [...]

Match Score: 119.00

venturebeat
Meta's new structured prompting technique makes LLMs significantly better at code review — boosting accuracy to 93% in some cases

Deploying AI agents for repository-scale tasks like bug detection, patch verification, and code review requires overcoming significant technical hurdles. One major bottleneck: the need to set up dynam [...]

Match Score: 103.67

venturebeat
This new, dead simple prompt technique boosts accuracy on LLMs by up to 76% on non-reasoning tasks

In the chaotic world of Large Language Model (LLM) optimization, engineers have spent the last few years developing increasingly esoteric rituals to get better answers. We’ve seen "Chain of Tho [...]

Match Score: 97.22

venturebeat
New training method boosts AI multimodal reasoning with smaller, smarter datasets

Researchers at MiroMind AI and several Chinese universities have released OpenMMReasoner, a new training framework that improves the capabilities of language models in multimodal reasoning.The framewo [...]

Match Score: 93.71

venturebeat
With Nova Forge, AWS gives companies a path to build foundation-class models without GPUs

Amazon Web Services (AWS) is leaning into the growing trend toward custom models with a new service that it says will let enterprises bring more personalization and internal knowledge. The move comes [...]

Match Score: 93.67

venturebeat
AWS claims 90% vector cost savings with S3 Vectors GA, calls it 'complementary' - analysts split on what it means for vector databases

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 [...]

Match Score: 88.92