Summary

Simply is a minimal, scalable JAX codebase for rapid iteration on frontier LLM and autoregressive model research. It targets researchers and AI agents, aiming to drastically reduce implementation time for new ideas via a simple, self-contained environment.

How It Works

Built on JAX for accelerated computation, Simply uses Orbax for checkpointing and Grain for data pipelines. Its design emphasizes minimal abstractions and dependencies for a hackable codebase. A key feature is AI agent integration, enabling autonomous research cycles where agents propose, run, and iterate experiments.

Quick Start & Requirements

Install via pip install .. JAX installation is environment-specific (CPU, GPU CUDA 13, TPU), see https://docs.jax.dev/en/latest/installation.html. Optional dependencies: [tfds], [math-eval], [dev]. Assets downloaded via python setup/setup_assets.py. Example local test: python -m simply.main --experiment_config lm_test --experiment_dir /tmp/${EXP} --alsologtostderr. Cloud TPU support is detailed in guides.

Highlighted Details

• Facilitates rapid iteration and implementation of novel research ideas in LLMs and autoregressive models.
• Enables automated AI research through agent integration for autonomous experiment design, execution, and iteration.
• Minimalist design with few dependencies for ease of understanding and modification.
• Scalable architecture leveraging JAX, Orbax, and Grain for efficient training and data handling.

Maintenance & Community

Contributors include Alex Zhai, Xingjian Zhang, Jiaxi Tang, Lizhang Chen, and Ran Tian. No specific community channels or roadmap links are provided.

Licensing & Compatibility

Software components are licensed under Apache License 2.0 (Apache 2.0), permissive for commercial use. Other materials use Creative Commons Attribution 4.0 International License (CC-BY), requiring attribution.

Limitations & Caveats

As a research codebase for rapid iteration, it may be experimental. The README notes limited initial datasets and models for testing, with more planned. No explicit mention of alpha/beta status or known bugs is present.