Sakana AI has opened a Recursive Self-Improvement Lab to test whether AI systems can help redesign and optimize future AI systems, a bet aimed at reducing frontier AI’s dependence on brute-force ...

Recursive language models (RLMs) are an inference technique developed by researchers at MIT CSAIL that treat long prompts as an external environment to the model. Instead of forcing the entire prompt ...

This package contains a precision-agnostic, header-only, C++ implementation of Burg's recursive method for estimating autoregressive model parameters. Many usability-related extensions, in particular ...

Recursive Language Models aim to break the usual trade off between context length, accuracy and cost in large language models. Instead of forcing a model to read a giant prompt in one pass, RLMs treat ...

Recent breakthroughs in natural language processing (NLP) 1,2,3 have showcased the exceptional capabilities of large language models (LLMs), including LLaMA3 4, GPT-4 5, and GPT-3.5 6, in reasoning ...

If you’ve hit a performance wall with Python in production, you’re not alone. Even the cleanest code can underperform if it doesn’t scale well, respond quickly, or make efficient use of system ...

This is the fourth time I rebuilt this library from scratch to find the sweet spot between ease of use (beautiful is better than ugly!), testability (simple is better than complex!) and potential for ...

Understanding long videos, such as 24-hour CCTV footage or full-length films, is a major challenge in video processing. Large Language Models (LLMs) have shown great potential in handling multimodal ...

Recursion is a powerful technique in computer science and programming where a function calls itself to solve a problem. It's a fundamental concept, and Python supports recursive functions elegantly.

Extracting meaningful information from short texts like tweets has proved to be a challenging task. Literature on topic detection focuses mostly on methods that try to guess the plausible words that ...