Anyword's Private Model Technical Overview
Anyword’s Private Models offer a robust and secure solution for enterprises seeking tailored large language model (LLM) services while ensuring data privacy and control. These models are designed to meet the stringent security and privacy requirements of enterprise customers, utilizing a combination of open source and commercial LLMs, customized and securely hosted on leading cloud platforms such as Google’s GCP and Amazon’s AWS.
Types of Anyword’s LLMs
Anyword uses different LLMs to serve its customers depending on the customer and use case. The main LLM types are:
1. Open Source LLMs:
- Trained by Anyword using a blend of open and proprietary data to meet specific customer needs.
- Securely hosted on GCP and AWS, ensuring high availability and robust.
2. Third-Party LLMs:
- OpenAI Models: Proprietary models served via OpenAI or Azure OpenAI.
- Google Models: Proprietary models provided by Google, served through GCP.
Data Storage and Security
Customer data is stored securely in GCP/AWS data stores. This data is used to further customize Anyword’s LLMs for each customer via Retrieval Augmented Generation (RAG) and insights.
Additional Language Services
Anyword uses additional complementary commercial language services including:
- Language Translation
- Plagiarism Detection
- Web Search
Benefits of Anyword’s Private Models
Enterprise customers enjoy the following exclusive private models benefits:
1. Customer data is used exclusively to train and augment models serving that customer.
2. By default, customer’s language services are limited to the minimal set of our most highly secure service provides:
- Anyword’s Open Source LLMs hosted on GCP/AWS
- Azure OpenAI
- GCP Vertex AI
3. Customers can opt in to use the additional language services as they wish.
Conclusion
Anyword’s Private Models offer a comprehensive solution for enterprises looking to leverage advanced language models while maintaining strict control over their data. The combination of secure hosting, exclusive data use, and optional third-party integrations ensures that enterprise customers can achieve their goals without compromising on data privacy or security.
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