The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...
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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...
Generative AI models have been used to create enormous libraries of theoretical materials that could help solve all kinds of ...
From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...
Researchers at MIT's CSAIL published a design for Recursive Language Models (RLM), a technique for improving LLM performance on long-context tasks. RLMs use a programming environment to recursively ...
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