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 ...
IEEE

Human-in-the-loop Learning for Adaptive Robot Manipulation using Large Language Models and Behavior Trees

Abstract: Large Language Models (LLMs) are now transforming the way robots learn to work in unpredictable environments, such as homes or small enterprises. A growing number of approaches are combining ...
GitHub

Tokenizer for language models.

Tokenize text for Llama, Gemini, GPT-4, DeepSeek, Mistral and many others; in the web, on the client and any platform. Kitoken can load and convert many existing tokenizer formats. Every supported ...
IEEE

Large Language Model-Driven Closed-Loop UAV Operation with Semantic Observations

Abstract: Recent advances in Large Language Models (LLMs) have revolutionized mobile robots, including unmanned aerial vehicles (UAVs), enabling their intelligent operation within Internet of Things ...