Anthropic continued its tradition of building AI models that raise the bar in coding tasks.
Using an 8-bit number format like FP8 during training saves computation compared to 16- or 32-bit formats, but it can yield less-accurate results. Researchers trained models using 4-bit numbers without sacrificing accuracy.
OpenAI launched an agentic software-development system.
Improving a large language model’s factual accuracy typically requires making it bigger, which in turn, involves more computation. Researchers devised an architecture that enables models to recall relevant details without significantly increasing the amount of computation required.
An open-source code generator performs comparably to the reasoning models DeepSeek-R1 and OpenAI o1 with a much smaller model.
Microsoft published its latest recipe for training reasoning models, substantially expanding what is still a fairly small base of public knowledge.
Researchers showed that supervised fine-tuning on as few as 1,000 examples can enable a pretrained large language model to reason — and a clever gambit can boost its performance to rival that of top reasoning models.
OpenAI’s most widely used model briefly developed a habit of flattering users, with laughable and sometimes worrisome results.
Alibaba’s new model family may unseat DeepSeek-R1’s four-month reign as the top open-weights large language model.
Large language models can improve systems that recommend items to purchase by inferring customer preferences.
Google refreshed its experimental tools for composers and producers.
ChatGPT’s image generator is available via API.
Large language models excel at processing text but can’t interpret images, video, or audio directly without further training on those media types. Researchers devised a way to overcome this limitation.
Hugging Face has made a name by providing open AI models. Now it’s providing an open robot.
OpenAI refreshed its roster of models and scheduled the largest, most costly one for removal.
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