Introducing NEO: The first Autonomous Machine Learning Engineer. NEO is a multi-agent system that automates the entire ML workflow, saving engineers thousands of hours of grunt work. Our recent advancements in multi-step reasoning and memory orchestration have enabled NEO to excel at solving complex Machine Learning problems on its... own from data engineering to deployments of ML models. Benchmarks: NEO was tested against 50 Kaggle competitions and scored a medal in 26% of them, far superior than the previous state of the art performance of 16.9% by Open AI’s O1 with AIDE scaffolding on the MLE bench With these capabilities, NEO aims to help every ML engineer become superhuman and focus on real innovation instead of the existing grunt work Check out NEO in the thread below:show more

NEO’s score qualifies it as a Kaggle Grandmaster, effectively bringing world-class ML expertise to your fingertips. Neo is getting ready for early beta users. Join our waitlist here:

NEO can perform end to end model building and problem solving.

NEO can manage datasets and perform exploratory analysis by itself for building models.

the ml models have started making ml models........

Thanks Joe Congrats on the launch as well

This is cool! Have you evaluated Neo on MLE-Bench? It'd be interesting to know how it compares to existing solutions like Aide ( or OpenHands (

You may find details about our benchmarking here: . We are soon releasing a technical report on the same.

👋

What’s the score on Jane street market prediction

Congrats, would love to test out its limits. I built a GPT4-based code interpreter bot on top of Poe a year ago, and built a python-based AI research chatbot (statistical analysis of datasets, with error correcting etc.) for a research org back in Jan. I'm on the waitlist