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OpenAI
avatarin uses OpenAI’s GPT-Realtime to give Yamada Denki shoppers 24/7 multilingual support. In two weeks, 30,000 people used the agent and 92% of survey responses were positive.
Балл: 42.97Уверенность: 54%
ПодробнееOpenAI
How two API settings improved GPT-5.6 performance on ARC-AGI-3, boosting scores and efficiency by retaining reasoning and enabling compaction.
Балл: 42.92Уверенность: 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: 42.84Уверенность: 54%
ПодробнееOpenAI
GPT-5.6 improves AI efficiency across models, inference, and agentic workflows, helping deliver more useful intelligence per dollar.
Балл: 42.84Уверенность: 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: 42.84Уверенность: 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: 42.84Уверенность: 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: 42.84Уверенность: 54%
ПодробнееProduct Hunt
Autonomous marketing agents that actually execute Discussion | Link
Балл: 42.83Уверенность: 46%
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: 42.81Уверенность: 54%
ПодробнееDatadog
Connect Bitbucket Cloud to Datadog to troubleshoot with source code in context and surface test, quality, and security feedback in pull requests.
Балл: 42.77Уверенность: 44%
ПодробнееDatadog
Learn how Tines workflows can update Datadog Observability Pipelines to prioritize threats, reduce alert noise, and accelerate investigations.
Балл: 42.77Уверенность: 44%
ПодробнееDatadog
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: 42.77Уверенность: 44%
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