Published on: 2025-06-07 12:47:00
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Enterprises need to know if the models that power their applications and agents work in real-life scenarios. This type of evaluation can sometimes be complex because it is hard to predict specific scenarios. A revamped version of the RewardBench benchmark looks to give organizations a better idea of a model’s real-life performance. The Allen Institute of AI (Ai2) launc
Keywords: evaluation model models reward rewardbench
Find related items on AmazonPublished on: 2025-06-11 12:25:19
Gradients are the new intervals At the New England Symposium on Graphics, James Tompkin compared graphics researchers to magpies: they're easily distracted by shiny objects and pretty renderings. While this is true, the analogy also holds from a different angle: when I'm reading graphics papers, I'm constantly looking for ideas to steal bring back to my nest. Researchers at IRIT and Adobe Research recently published a paper that's full of interesting ideas, and I'd like to talk about it. Thi
Keywords: evaluation interval lipschitz min point
Find related items on AmazonPublished on: 2025-09-08 00:00:00
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Enterprises are spending time and money building out retrieval-augmented generation (RAG) systems. The goal is to have an accurate enterprise AI system, but are those systems actually working? The inability to objectively measure whether RAG systems are actually working is a critical blind spot. One potential solution to that challenge is launching today with the debut
Keywords: eval evaluation framework open rag
Find related items on AmazonPublished on: 2025-09-21 16:00:00
In the late 2000s, McKenzie and the pioneering complexity theorist Stephen Cook devised a problem that seemed like a promising candidate. Called the tree evaluation problem, it involves repeatedly solving a simpler math problem that turns a pair of input numbers into a single output. Copies of this math problem are arranged in layers like the matches in a tournament bracket: The outputs of each layer become the inputs to the next layer until there’s just one output remaining. Different tree eval
Keywords: cook evaluation memory problem tree
Find related items on AmazonPublished on: 2025-10-17 19:00:00
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Patronus AI announced today the launch of what it calls the industry’s first multimodal large language model-as-a-judge (MLLM-as-a-Judge), a tool designed to evaluate AI systems that interpret images and produce text. The new evaluation technology aims to help developers detect and mitigate hallucinations and reliability issues in multimodal AI applications. E-commerce
Keywords: ai evaluation kannappan patronus systems
Find related items on AmazonPublished on: 2025-11-12 14:23:56
Hi HN - we're Jeffrey and Kritin, and we're building Confident AI ( https://confident-ai.com ). This is the cloud platform for DeepEval ( https://github.com/confident-ai/deepeval ), our open-source package that helps engineers evaluate and unit-test LLM applications. Think Pytest for LLMs. We spent the past year building DeepEval with the goal of providing the best LLM evaluation developer experience, growing it to run over 600K evaluations daily in CI/CD pipelines of enterprises like BCG, Astr
Keywords: ai confident deepeval evaluation llm
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.