MIT Paper - Recursive Language Models скачать в хорошем качестве

MIT Paper - Recursive Language Models

In this stream, I will spend a few hours reading and discussing a recent paper on Recursive Language Models (RLMs) and looking through its accompanying source code. The paper studies how large language models can work with very long inputs by changing how inference is done, rather than increasing the context window. The proposed approach treats long prompts as an external environment and lets the model inspect, split, and recursively process parts of the input. During the stream, I will: Read through the paper and discuss the main ideas and assumptions Talk about how Recursive Language Models differ from standard long context methods Look at the reported results on long context benchmarks Go through parts of the open source implementation to understand how recursion is handled in practice Share observations, questions, and limitations as they come up This is a relaxed, exploratory stream focused on understanding the method and its implementation, not a polished tutorial or full reproduction of results. Paper and code reference: https://github.com/alexzhang13/rlm #LLMs #RecursiveLanguageModels #AIResearch #MachineLearning #LongContext #InferenceTime #NLP #OpenSourceAI #ResearchReading