Fri Oct 04 23:08:21 UTC 2024: ## AI Training Hits a Wall, MOSTLY AI Offers Solution with Synthetic Text
**VIENNA and NEW YORK, October 1, 2024** – MOSTLY AI, a leader in synthetic data, has launched a new functionality allowing enterprises to safely leverage their own proprietary text data for AI training. This development comes as AI models face a plateau, running out of public data to learn from.
The new synthetic text feature enables companies to utilize vast amounts of internal text data, like emails and customer support transcripts, without compromising privacy. This unlocks a treasure trove of information for training and fine-tuning large language models (LLMs), leading to faster innovation and improved decision-making.
“AI training is hitting a plateau as models exhaust public data sources,” explains Tobias Hann, CEO of MOSTLY AI. “To harness high-quality proprietary data, companies must leverage both structured and unstructured synthetic data.”
MOSTLY AI’s synthetic text technology solves several key challenges for businesses:
* **Privacy:** It allows the use of sensitive data without risking privacy violations, complying with regulations like GDPR and CCPA.
* **Quality:** The synthetic text generated by MOSTLY AI delivers performance improvements up to 35% compared to other methods, ensuring high-quality AI training.
* **Convenience:** The platform seamlessly integrates with popular open-source AI models, streamlining the training process.
Peter Sarlin, CEO of Silo AI, highlights the transformative potential of synthetic data: “With the ability to privacy-preserving fine-tune models using proprietary text data, we’re moving beyond the sheer quantity of data to a focus on quality, which is critical for the future of AI training.”
This launch positions MOSTLY AI as a key player in the growing field of synthetic data, offering businesses a solution to overcome the AI training plateau and unlock the full potential of their valuable proprietary data.
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