An open source model is designed to perform sophisticated object detection on edge devices like phones, cars, medical equipment, and smart doorbells.
An up-and-coming Hangzhou AI lab unveiled a model that implements run-time reasoning similar to OpenAI o1 and delivers competitive performance. Unlike o1, it displays its reasoning steps.
An up-and-coming Hangzhou AI lab unveiled a model that implements run-time reasoning similar to OpenAI o1 and delivers competitive performance. Unlike o1, it displays its reasoning steps.
Researchers cut the processing required to train transformers by around 20 percent with only a slight degradation in performance.
Researchers cut the processing required to train transformers by around 20 percent with only a slight degradation in performance.
A real-time video generator lets you explore an open-ended, interactive virtual world — a video game without a game engine.
A real-time video generator lets you explore an open-ended, interactive virtual world — a video game without a game engine.
Builders of large AI models have relied on the idea that bigger neural networks trained on more data and given more processing power would show steady improvements. Recent developments are challenging that idea.
Builders of large AI models have relied on the idea that bigger neural networks trained on more data and given more processing power would show steady improvements. Recent developments are challenging that idea.
An open source package inspired by the commercial agentic code generator Devin aims to automate computer programming and more.
An open source package inspired by the commercial agentic code generator Devin aims to automate computer programming and more.
A new open source large language model outperforms competitors, including the open-weights Llama 3.1 405B, on a variety of benchmarks.
A new open source large language model outperforms competitors, including the open-weights Llama 3.1 405B, on a variety of benchmarks.
Coding agents are improving, but can they tackle machine learning tasks?
Coding agents are improving, but can they tackle machine learning tasks?
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