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Recursive Language Models (RLMs) provide a task-agnostic inference paradigm that enables language models to handle near-infinite contexts through programmatic decomposition and recursive self-calling. The framework replaces standard completion calls with an RLM-specific interface that offloads context into a REPL environment for interactive execution. This repository offers an extensible engine supporting various local and cloud-based sandbox environments to facilitate complex, multi-step language model reasoning.
The Willow Inference Server allows users to self-host high-speed language inference tasks for various applications. It supports a range of functionalities including speech-to-text, text-to-speech, and large language model processing. Users can access official documentation and community discussions to optimize their experience with the platform.