Общие новости
Загружаем каталог…
Загружаем каталог…
НАВИГАТОР ПО ВОЗМОЖНОСТЯМ ИИ
Найдите свой ИИ-инструмент. Бесплатный доступ, пробные периоды и кредиты — в одном месте.
Datadog
Learn how Bits generates synthetic data, measures simulation fidelity, and uses execution time and database work to determine whether an optimization is truly faster.
Балл: 43.16Уверенность: 44%
OpenAI
How two API settings improved GPT-5.6 performance on ARC-AGI-3, boosting scores and efficiency by retaining reasoning and enabling compaction.
Балл: 43.11Уверенность: 54%
ПодробнееTogether.ai
ThunderAgent is a program-aware scheduler for agentic inference. By treating each agent workflow as a schedulable program, it eliminates KV cache thrashing to deliver more than 2x single-node throughput and near-linear multi-node scaling.
Балл: 43.03Уверенность: 54%
ПодробнееOpenAI
GPT-5.6 improves AI efficiency across models, inference, and agentic workflows, helping deliver more useful intelligence per dollar.
Балл: 43.03Уверенность: 54%
ПодробнееModal
Hugging Face published a technical timeline of a recent agent intrusion. Modal's platform and isolation were not compromised in this incident.
Балл: 43.03Уверенность: 54%
ПодробнееOpenRouter
The LangChain integration now has a dedicated package: langchain-openrouter on PyPI and @langchain/openrouter on npm. Most guides still teach the old ChatOpenAI base_url override. This is the current path, plus the routing economics the docs skip.
Балл: 43.03Уверенность: 54%
ПодробнееTogether.ai
Together AI partners with Moonshot AI to natively serve Kimi models, starting with the 2.8T parameter Kimi K3, with day zero access and post-training.
Балл: 43.03Уверенность: 54%
ПодробнееOpenAI
A new field report shows how scientists use AI coding agents to modernize scientific computing, accelerating software development and discovery in genomics and beyond.
Балл: 42.99Уверенность: 54%
ПодробнееOpenRouter
The same model behaves differently across provider endpoints. Infrastructure, quantization, load handling, and routing defaults all change the result. Here's how to measure latency, throughput, uptime, and precision, then turn the measurements into a routing policy.
Балл: 42.9Уверенность: 54%
ПодробнееHugging Face
Балл: 42.89Уверенность: 48%
ПодробнееTogether.ai
ParallelKernelBench tests whether LLMs can write fast multi-GPU CUDA kernels across 87 real workloads. The best model solves under a third, but a few generated kernels beat any public implementation.
Балл: 42.85Уверенность: 59%
ПодробнееOpenAI
New OpenAI research shows how AI is expanding what workers do, with ChatGPT users taking on tasks across roles and reshaping job boundaries.
Балл: 42.79Уверенность: 54%
Подробнее