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 …
Read more “An experiment with “realism” with Wan2.2 that are safe for work images”
We’re rolling out significant updates to Veo that give people even more creative control.
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 …
Read more “Agentic RAG for Software Testing with Hybrid Vector-Graph and Multi-Agent Orchestration”
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 …
Read more “Transforming enterprise operations: Four high-impact use cases with Amazon Nova”
If a picture is worth a thousand words, a video is worth a million. For creators, generative video holds the promise of bringing any story or concept to life. However, the reality has often been a frustrating cycle of “prompt and pray” – typing a prompt and hoping for a usable result, with little to …
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 …
Read more “Anthropic is giving away its powerful Claude Haiku 4.5 AI for free to take on OpenAI”
Huge AI infrastructure deals assume that algorithms will keep improving with scale. They may not.
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.
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You don’t always need a heavy wrapper, a big client class, or dozens of lines of boilerplate to call a large language model.