WithNeo's NEO Automates ML Workflow, Outperforms OpenAI's O1, Reduces Workloads by 100X

Nov 15, 2024, 05:25 PM

NEO, the first autonomous AI machine learning engineer developed by WithNeo, has been introduced. NEO is a multi-agent system designed to automate the entire machine learning workflow, reducing workloads by 100X and potentially saving engineers thousands of hours of work. By employing multi-step reasoning, memory orchestration, strategic planning, and specialized expertise, NEO aims to revolutionize AI/ML engineering and MLOps. Operating on a proprietary algorithm, NEO fits seamlessly into existing workflows, improving every step and enhancing efficiency. In tests against 50 Kaggle competitions, NEO scored medals in 26% of the events, surpassing the previous state-of-the-art performance of 16.9% achieved by OpenAI's O1. NEO is envisioned to act as a personal Kaggle grandmaster for AI/ML teams worldwide, bringing world-class ML expertise to users and enabling them to focus on innovation.