36 results for: models

NVIDIA announced new software, open-source models and platform partnerships to build autonomous AI agents for engineering, healthcare, development and business operations.

OpenAI made its frontier models and Codex generally available on AWS, letting enterprises build with OpenAI inside existing AWS environments and procurement flows.

A physics-informed foundation model called PIGMENT learns a universal microstructure prior and adapts zero-shot to individual diffusion MRI scans, enabling reliable maps from sparse and heterogeneous data.

A new ATOM analysis of about 1,500 open language models maps downloads, derivatives, inference share and performance, and reports Chinese models surpassed U.S.

A new study reveals that multimodal large language models struggle with clinical dermatology tasks.

Defense officials are discussing frontier AI models, focusing on potential benefits amidst risks raised by Mythos.

RPC-Bench addresses gaps in understanding academic papers for AI models with a new benchmark.

Aymara AI unveils a platform for custom safety evaluations of large language models, revealing performance gaps.

Elon Musk testified that xAI used OpenAI's models to enhance its Grok AI, raising regulatory questions.

A new framework aims to improve the assessment of medical AI benchmarks, addressing key shortcomings.

Leading AI companies restrict access to advanced models like GPT-Rosalind due to safety concerns.

A new test-time matching method improves compositional reasoning in AI models, achieving state-of-the-art results.

Civitai releases the Studious Scout 🎒 LoRA for Fortnite, designed for flexibility and character consistency.

OpenAI's latest initiative, Parameter Golf, aims to refine model performance metrics.

NVIDIA reveals enhancements in Jetson's memory management, enabling larger AI models at the edge.

DenoiseRank leverages diffusion models for a fresh generative angle on learning to rank tasks.

Claude Code's recent quality issues stem from three specific bugs, not from the models themselves.

Nemobot leverages large language models to create customizable AI agents for strategic games.

Recent benchmarks reveal AI models may enable biological weaponization by low-expertise users, raising urgent policy concerns.

NVIDIA introduces new higher-order optimizers to enhance training efficiency for large language models.

Xiaomi's new MiMo models achieve frontier benchmarks while reducing token costs significantly.

A new framework exposes vulnerabilities in language model safety evaluations through concept-specific manipulations.

An arXiv study uses perturbation-based attribution to compare FFT, LoRA, and quantized LoRA across model sizes and finds FFT yields more focused interpretive patterns.

OpenAI published ChatGPT Images 2.0; Simon Willison ran a Where's‑Waldo‑style prompt to compare it with gpt-image-1 and rival models.

Anthropic revised the Claude Opus 4.7 system prompt to add a PowerPoint agent, expand child-safety rules, and change interaction guidance.

Anthropic released Claude Opus 4.7, a focused successor to Opus 4.6 that emphasizes agentic software engineering, high-resolution vision and long-horizon autonomy.

NVIDIA introduced Ising, a family of open-source quantum AI models intended to help researchers and enterprises design quantum processors that can run useful applications.

Opus 4.7 arrives as Anthropic’s strongest generally available Claude release, claiming upgrades for advanced coding, image analysis and instruction following.

OpenAI launched GPT-Rosalind, its first life‑sciences model aimed at accelerating drug discovery and genomic analysis and cutting long development timelines.

EVE publishes EVE-Instruct, a 24B Mistral-based model and a suite of Earth-science datasets, benchmarks, and tooling for domain-specific LLM deployment.

Simon Willison released llm-anthropic 0.25, which ships claude-opus-4.7 supporting thinking_effort: xhigh and new thinking flags.

NVIDIA unveiled Ising, an open family of AI models with Calibration and Decoding domains designed to help build fault-tolerant quantum processors.

CRO Denise Dresser told staff to prioritize user retention and enterprise sales and to build a product 'moat' as users easily switch between top models.

MiniMax published M2.7 weights on Hugging Face; the model is billed as self-evolving and posts 56.22% on SWE‑Pro and 57.0% on Terminal Bench 2.