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An experiment with “realism” with Wan2.2 that are safe for work images

Got bored seeing the usual women pics every time I opened this sub so decided to make something a little friendlier for the work place. I was loosely working to a theme of “Scandinavian Fishing Town” and wanted to see how far I could get making them feel “realistic”. Yes I am aware there’s all …

Agentic RAG for Software Testing with Hybrid Vector-Graph and Multi-Agent Orchestration

We present an approach to software testing automation using Agentic Retrieval-Augmented Generation (RAG) systems for Quality Engineering (QE) artifact creation. We combine autonomous AI agents with hybrid vector-graph knowledge systems to automate test plan, case, and QE metric generation. Our approach addresses traditional software testing limitations by leveraging LLMs such as Gemini and Mistral, multi-agent …

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Transforming enterprise operations: Four high-impact use cases with Amazon Nova

Since the launch of Amazon Nova at AWS re:Invent 2024, we have seen adoption trends across industries, with notable gains in operational efficiency, compliance, and customer satisfaction. With its capabilities in secure, multimodal AI and domain customization, Nova is enhancing workflows and enabling cost efficiencies across core use cases. In this post, we share four …

Anthropic is giving away its powerful Claude Haiku 4.5 AI for free to take on OpenAI

Anthropic released Claude Haiku 4.5 on Wednesday, a smaller and significantly cheaper artificial intelligence model that matches the coding capabilities of systems that were considered cutting-edge just months ago, marking the latest salvo in an intensifying competition to dominate enterprise AI. The model costs $1 per million input tokens and $5 per million output tokens …

A stapler that knows when you need it: Using AI to turn everyday objects into proactive assistants

A stapler slides across a desk to meet a waiting hand, or a knife edges out of the way just before someone leans against a countertop. It sounds like magic, but in Carnegie Mellon University’s Human-Computer Interaction Institute (HCII), researchers are combining AI and robotic mobility to give everyday objects this kind of foresight.