Boost the performance of generative AI using the right high-quality training data.

Training AI models involves furnishing them with a large amount of high-quality data and then adjusting model parameters, enabling accurate performance on new, unseen data.

Generative AI models, like OpenAI’s GPT, can produce contextually appropriate text, yet do not "understand" the material or its context in the same way humans do. They are essentially very sophisticated pattern matchers. Improving the model’s outputs requires human assistance, through data curation, labeling, and training of the algorithm's reward models and functions.

Organizations that support their AI models with experienced AI training teams can achieve faster and more valuable results for their customers.