MOSTLY AI, a leader in structured synthetic data, has launched synthetic text functionality, providing enterprises with a secure solution for training AI models. This breakthrough allows businesses to leverage proprietary text data—such as emails, customer support transcripts, and chatbot conversations—without risking privacy breaches. By incorporating both structured and unstructured data, MOSTLY AI is driving a new era of AI innovation.
1. The Need for Synthetic Text in AI Model Training
- Public data sources are becoming exhausted, and proprietary data holds more value but comes with privacy risks.
- MOSTLY AI’s synthetic text functionality enables enterprises to unlock vast amounts of private text data for training and fine-tuning large language models (LLMs) while maintaining privacy compliance.
- This innovation is crucial for industries looking to enhance decision-making and accelerate AI-driven growth.
2. Addressing Privacy and Quality Concerns
- Privacy Concerns: Proprietary data often includes sensitive information, like personally identifiable information (PII). Synthetic text provides a privacy-preserving alternative.
- Quality Improvements: Synthetic text generated by MOSTLY AI’s platform improves the performance of downstream text classifiers by up to 35%, compared to minimal real-world examples.
3. Market Shift Towards Synthetic Data
- Gartner predicts that 75% of companies will use generative AI to create synthetic customer data by 2026, a significant increase from less than 5% in 2023.
- MOSTLY AI is leading this shift by integrating structured and unstructured synthetic data, allowing enterprises to safely train AI models and deploy generative AI solutions.
4. Enterprise Applications and Fine-Tuning with Open Source Models
- The platform’s ability to fine-tune models, such as those from Hugging Face, using proprietary text data enhances efficiency and simplifies traditionally complex processes.
- MOSTLY AI’s platform supports privacy-preserving AI training while delivering high-quality, bespoke generative AI solutions.
5. Industry Support and Technological Excellence
- Industry leaders like Peter Sarlin, CEO of Silo AI, and Christoph Hornung from Molten Ventures emphasize the transformative potential and superior quality of MOSTLY AI’s synthetic text capabilities.
MOSTLY AI’s expansion into synthetic text opens new doors for enterprises looking to leverage proprietary data for AI model training. By combining privacy protection with high-quality synthetic data, companies can now access the full potential of their data assets, fueling innovation and strategic decision-making.
