There are three immediate challenges for companies that want to train fine-tuned AI models: 1) they require extensive, high-quality data — a scarce resource for many enterprises, 2) third-party AI models can include problematic biases, and 3) training fine-tuned models with users’ personal data may result in privacy violations. However, data collaboration platforms can help address these challenges. They can provide a privacy-preserving training space on high-quality, abundant data, ensuring compliance with privacy laws and unleashing the full potential of fine-tuned models.
