How to Train Your Own Language Model Without Exposing Sensitive Data
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Concerned About Sensitive Data in Your Language Model?
Are you looking to build your own custom language model but concerned about the sensitive data within your company’s dataset? You’re not alone. Many companies face this challenge with making their own LLM(Large Language Models). While your data is one of your most valuable assets, the risk of exposing personally identifiable information (PII) or other sensitive data can make training a language model feel like a risky proposition. Even if you plan to use an LLM only within your company, the challenge remains if sensitive information exists within the data that should not be shared among company members.
Why Traditional Methods Fall Short for LLM
To protect sensitive data, companies often resort to data masking or de-identification techniques. However, these methods can degrade the quality of your data, leading to less effective LLM. The unnatural structure of masked data often results in models that underperform, limiting the potential benefits of using your proprietary data
You can use anonymized data with de-identification. However, It’s same with below picture. If you train with photos like the ones below, will the model be created as desired?
Train Your LLM Securely with DTS
So, how can you train your LLM securely without compromising on performance? That’s where our Data Transformation System (DTS) comes into play. Our DTS allows you to generate high-quality secure synthetic data within your own network, ensuring that sensitive information never leaves your company’s premises. This synthetic data is designed to meet differential privacy (DP) standards without using de-identification techniques which severely degrades the quality of the data. So it allows you to confidently train your models, ensuring high performance and strong security
Key Benefits of Using DTS for Your LLM
- Complete Data Control: Keep all sensitive data on-premise, ensuring it never leaves your secure network while training your model.
- High-Performance Language Models: Our synthetic data maintains the natural structure and context of your original data, leading to better-performing LLM.
- Regulatory Compliance: Easily meet privacy regulations by generating DP-compliant synthetic data for your model training.
How to Get Started with Secure Language Model Training
Implementing our DTS solution is straightforward. Simply install our DTS program within your internal network, and you’re ready to start transforming your proprietary data into secure, synthetic datasets. These datasets are crafted to retain the statistical properties of your original data while ensuring no sensitive information is compromised during LLM training.
Why Secure Language Models Are the Future
Don’t let data privacy concerns hold you back from developing your own powerful language models. With our secure synthetic data solution, you can confidently train your LLM while protecting sensitive information.
Ready to Build Your Secure Language Model?
Let’s get started today and revolutionize the way your company approaches LLMl training with us!