How I Study AI - Learn AI Papers & Lectures the Easy Way

On Data Engineering for Scaling LLM Terminal Capabilities

Intermediate

Renjie Pi, Grace Lam et al.Feb 24arXiv

This paper shows that you can vastly improve a model’s command-line (terminal) skills by carefully engineering the training data, not just by using a bigger model.

#Terminal-Bench 2.0#terminal agents#synthetic task generation

Endless Terminals: Scaling RL Environments for Terminal Agents

Intermediate

Kanishk Gandhi, Shivam Garg et al.Jan 23arXiv

Endless Terminals is an automatic factory that builds thousands of realistic, checkable computer-terminal tasks so AI agents can practice and improve with reinforcement learning.

#reinforcement learning#PPO#terminal agents

Let It Flow: Agentic Crafting on Rock and Roll, Building the ROME Model within an Open Agentic Learning Ecosystem

Intermediate

Weixun Wang, XiaoXiao Xu et al.Dec 31arXiv

This paper builds an open, end-to-end ecosystem (ALE) that lets AI agents plan, act, and fix their own mistakes across many steps in real computer environments.

#agentic LLMs#reinforcement learning#IPA

Papers3

On Data Engineering for Scaling LLM Terminal Capabilities

Endless Terminals: Scaling RL Environments for Terminal Agents

Let It Flow: Agentic Crafting on Rock and Roll, Building the ROME Model within an Open Agentic Learning Ecosystem