How Checkr Replaced GPT-4 with Fine-Tuned Open-Source Models—and Slashed Costs 5x

Checkr, the leading background check platform, needed a better way to handle the toughest 2% of cases that traditional ML couldn’t classify accurately. With Predibase, they fine-tuned a llama-3-8B model to outperform GPT-4—achieving 90%+ accuracy, 30x faster inference, and 5x lower costs. This case study reveals how Checkr streamlined its AI pipeline, eliminated latency bottlenecks, and scaled with confidence using multi-LoRA deployment on Predibase.

Download the case study to see how enterprise-grade GenAI gets done—without the GPT-4 price tag.