Case Study: a U.S.-based employee engagement platform achieves 98% LLM accuracy with Toptal's custom GPT models

a U.S.-based Employee Engagement Platform boosts LLM accuracy to 98% with Toptal

The customer, a U.S.-based employee engagement platform, faced challenges with low accuracy in its large language models, which led to poor-quality insights and unreliable analysis. To address this, they engaged Toptal for its AI development and MLOps services.

Toptal developed an end-to-end machine learning operations pipeline and fine-tuned OpenAI’s GPT models with custom datasets. This solution achieved over 98% accuracy in testing, enabling the platform to handle millions of data points swiftly while increasing data privacy and providing more reliable insights.

U.S.-based Employee Engagement Platform