Issue #3 | Notes on Improving AI Performance
A deep dive into how leading companies are deploying AI agents reliably in production
Hi AI innovators,
Welcome to Collinear’s latest update on AI safety and improvement. We're thrilled to share some exciting customer and product updates that will help you deploy AI with confidence and control.
🏆 Collaboration Spotlight: MasterClass
How MasterClass solved their Last Mile AI safety and reliability challenge
We recently partnered with MasterClass on their innovative "MasterClass On Call" experience, creating authentic AI instructor personas that maintain the distinctive voices of world-class experts. The results speak for themselves!
The results speak for themselves:
15%+ improvement in safety and reliability scores compared to supervised fine-tuning alone
Exceptional user feedback on the authenticity of AI instructor conversations
A repeatable framework for scaling to additional world-class instructors
Successfully capturing unique teaching styles with minimal training data
The key? Our custom quality judges trained on just 25-30 carefully selected examples per instructor, combined with our Collinear Weaver engine for generating high-quality preference data. This approach allowed us to capture the distinctive voice of FBI hostage negotiator Chris Voss while maintaining rigorous safety standards.
As Mandar Bapaye, CTO of MasterClass puts it, the right approach to last mile safety and reliability doesn't just prevent problems – it actively accelerates innovation by "enabling quicker, iterative improvements" while maintaining the standards that define your brand.
⚙️ Product Spotlight: High Quality Curated Data
Today’s AI models have a not-so-secret problem: data quality. Models need high-quality, diverse data that mimics real-world use cases, but this creates major roadblocks - human-annotated data is slow and expensive, while synthetic data often lacks quality and diversity. When real business outcomes depend on model performance, the quality of training data is more than just a technical consideration - it's a strategic advantage.
That's why we are excited to introduce Collinear data curators - specialized filters designed to transform how you approach training data. These precision curators assess each data point for critical parameters - including Correctness, Naturalness, Diversity, Coherence, Instruction Following, Quality of Reasoning - ensuring only the highest quality samples are used for training processes such as Continual Pre-Training and Supervised Fine-Tuning.
Our enterprise customers are already seeing impressive results - eliminating up to 50% of their pre-training data without any performance drop. This translates directly to millions saved in training costs and GPU utilization.
Contact us to learn more about our Improve solution or schedule a demo today.
🌱 Join Our Growing Team
We're expanding our team! Current openings:
Research Scientist
Machine Learning Engineer
Marketing Lead
View all open positions on our Careers page.
🤝 What's Next?
Ready to improve your AI’s performance? Let’s talk about how Collinear can help your team take your AI solution to production.