Alibaba's HDPO framework trains AI agents to skip unnecessary tool calls, cutting redundant invocations from 98% to 2% while boosting reasoning accuracy.
A fun, huge leap - and surprisingly useful for real work. After its release last week, I ran ChatGPT Images 2.0 through a series of tests to prov ...
Researchers develop Neuroplex, a pipeline combining miniscopes and confocal imaging to track 9 distinct neuron types in ...
OpenAI released its latest image AI model, Image 2.0, this week, and while the model may have gone slightly under the radar among the plethora of AI launches, it is still among the best AI photo ...
AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...
Scientists at the Max Planck Florida Institute for Neuroscience (MPFI), in collaboration with ZEISS and MetaCell, have ...
New research suggests AI can make simple tasks take longer, while convincing users they are becoming more productive. A new ...
Early adopters are using the model for diverse applications, such as auto-clipping highlights from live sports, which ...
Most AI coding benchmarks still ask the question: did the agent produce code that passes the current tests? This is a useful ...
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