MIT’s new ‘recursive’ framework lets LLMs process 10 million tokens without context rot

While standard models suffer from context rot as data grows, MIT’s new Recursive Language Model (RLM) framework treats ...
InfoQ

MIT's Recursive Language Models Improve Performance on Long-Context Tasks

Researchers at MIT's CSAIL published a design for Recursive Language Models (RLM), a technique for improving LLM performance ...
GitHub

GPBoost: Combining Tree-Boosting with Gaussian Process and Mixed Effects Models

The GPBoost algorithm combines tree-boosting with latent Gaussian models such as Gaussian process (GP) and grouped random effects models. This allows to leverage advantages and remedy drawbacks of ...

How strong and fast can a python swim in Florida waters? You'd be surprised

Pythons can tolerate saltwater and freshwater and have been observed swimming in Florida Bay and Biscayne Bay.