Published on: 2025-04-26 14:50:08
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Large language models (LLMs) are increasingly capable of complex reasoning through “inference-time scaling,” a set of techniques that allocate more computational resources during inference to generate answers. However, a new study from Microsoft Research reveals that the effectiveness of these scaling methods isn’t universal. Performance boosts vary significantly across
Keywords: accuracy model models reasoning scaling
Find related items on AmazonPublished on: 2025-05-17 07:55:38
Intelligence. On your computer. Ace is a computer autopilot that performs tasks on your desktop using your mouse and keyboard. Ace outperforms other models on our suite of computer use tasks, which we are open-sourcing here. We're making the ace-control models available to selected partners through our developer platform. Model Accuracy Comparison Correct Left-Click Predictions ace-control-medium ace-control-small Operator Molmo-72B-0924 Claude 3.7 Sonnet UI-TARS-72B-SFT OmniParser V2 + GPT-4
Keywords: 72b accuracy ace control tasks
Find related items on AmazonPublished on: 2025-07-07 08:01:18
zf L/Getty Images A recent survey of 1,050 CIOs revealed that 93% of IT leaders will implement AI agents in the next two years, with IT leaders working to implement the technology by focusing on removing data silos. The average number of apps used by respondents was 897, with 45% reporting using 1,000 applications or more, hindering IT teams' ability to build a unified experience. Also: The end of data silos? How SAP is redefining enterprise AI with Joule and Databricks Only 29% of enterpris
Keywords: accuracy agentic ai data valoir
Find related items on AmazonPublished on: 2025-07-11 20:49:29
OmniAI OCR Benchmark Using Structured Outputs to evaluate OCR accuracy Published Feb 20, 2025 Overview Are LLMs a total replacement for traditional OCR models? It's been an increasingly hot topic, especially with models like Gemini 2.0 becoming cost competitive with traditional OCR. To answer this, we run a benchmark evaluating OCR accuracy between traditional OCR providers and Vision Language Models. This is run with a wide variety of real world documents. Including all the complex, messy,
Keywords: accuracy benchmark gpt json ocr
Find related items on AmazonGo K’awiil is a project by nerdhub.co that curates technology news from a variety of trusted sources. We built this site because, although news aggregation is incredibly useful, many platforms are cluttered with intrusive ads and heavy JavaScript that can make mobile browsing a hassle. By hand-selecting our favorite tech news outlets, we’ve created a cleaner, more mobile-friendly experience.
Your privacy is important to us. Go K’awiil does not use analytics tools such as Facebook Pixel or Google Analytics. The only tracking occurs through affiliate links to amazon.com, which are tagged with our Amazon affiliate code, helping us earn a small commission.
We are not currently offering ad space. However, if you’re interested in advertising with us, please get in touch at [email protected] and we’ll be happy to review your submission.