Recursive Language Models
Recursive Language Models (RLMs) let language models recursively call themselves within an environment, like a Python REPL, to handle extremely long contexts without performance drop (context rot). They dynamically break down queries into smaller parts, delivering strong, cost-efficient results on big benchmarks and enabling scalable, interpretable reasoning beyond fixed context limits.
https://alexzhang13.github.io/blog/2025/rlm/
Recursive Language Models (RLMs) let language models recursively call themselves within an environment, like a Python REPL, to handle extremely long contexts without performance drop (context rot). They dynamically break down queries into smaller parts, delivering strong, cost-efficient results on big benchmarks and enabling scalable, interpretable reasoning beyond fixed context limits.
https://alexzhang13.github.io/blog/2025/rlm/
Alex L. Zhang
Recursive Language Models
We propose Recursive Language Models (RLMs), an inference strategy where language models can decompose and recursively interact with input context of unbounded length through REPL environments.
Introducing PyTorch Monarch
PyTorch Monarch is a distributed programming framework designed to simplify scaling AI workflows by enabling a single-controller model that orchestrates distributed resources like a single machine. It provides actor-based programming with scalable messaging, fault tolerance, and distributed tensor support, allowing seamless development, debugging, and efficient handling of large-scale tr...
https://pytorch.org/blog/introducing-pytorch-monarch/
PyTorch Monarch is a distributed programming framework designed to simplify scaling AI workflows by enabling a single-controller model that orchestrates distributed resources like a single machine. It provides actor-based programming with scalable messaging, fault tolerance, and distributed tensor support, allowing seamless development, debugging, and efficient handling of large-scale tr...
https://pytorch.org/blog/introducing-pytorch-monarch/
caniscrape
Know before you scrape. Analyze any website's anti-bot protections in seconds.
https://github.com/ZA1815/caniscrape
Know before you scrape. Analyze any website's anti-bot protections in seconds.
https://github.com/ZA1815/caniscrape
GitHub
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Create Your Own Bash Computer Use Agent with NVIDIA Nemotron in One Hour
A tutorial on building a computer use AI agent capable of executing multi-step tasks in a Bash shell, powered by the NVIDIA Nemotron Large Language Model. It covers creating the agent's brain, the Bash interface for safe command execution, and the agent loop, demonstrating how to build and deploy an autonomous assistant within an hour.
https://www.youtube.com/watch?v=F7f-eFou2-o
A tutorial on building a computer use AI agent capable of executing multi-step tasks in a Bash shell, powered by the NVIDIA Nemotron Large Language Model. It covers creating the agent's brain, the Bash interface for safe command execution, and the agent loop, demonstrating how to build and deploy an autonomous assistant within an hour.
https://www.youtube.com/watch?v=F7f-eFou2-o
YouTube
Create Your Own Bash Computer Use Agent with NVIDIA Nemotron in One Hour
In this tutorial, you'll learn how to build a computer use AI agent from scratch. Powered by the NVIDIA Nemotron Large Language Model (LLM), this agent can execute multi-step tasks in the Bash shell, such as navigating files and summarizing documents and…