With Stained Glass Transform™
Stained Glass empowers enterprises to extract value from their proprietary data using the most advanced LLMs without risking leakage of unprotected sensitive information
For Generative AI companies, showcasing value on enterprise data is critical. Friction in getting enterprises to use their internal data is a significant barrier.
For enterprises wanting to use Generative AI solutions, being unable to extract value from their proprietary data quickly is a major shortcoming.
Lightweight and
Versatile Solution
Tap into the value of more data for ML insights
Work with any Data-type from text to images
Retrieval Augmented Generation (RAG) is a recent enterprise LLM use-case to retrieve data from outside a foundation model and augment the prompts by adding the relevant retrieved data in context.
The below shows that Stained Glass can be used to protect both question and source documents in the context from the LLM in RAG use-cases.
Machine learning (ML) has emerged as a transformative technology across various industries, including the U.S. Navy.
Are you thinking about how to use Generative AI safely? In the age of data-centric AI, the significance of data access and security cannot be overstated.
A Guide for CISOs and AI Transformation Leaders. The advent of Large Language Models (LLMs), such as ChatGPT, Bard, and even open-source foundation models, has ushered in an era of unprecedented possibilities.
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