Private Large Language Models
Deploy ChatGPT-like models with your private data that only you can access.
Boost productivity without sacrificing data security.
Using someone else's language model exposes your data to brand new threat vectors. Private models give you the power of GPT without compromising security.
- No data harvesting
Service providers cannot harvest your data if you never send it to them. Keep your confidential data way from their model training pipeline.
- No external access
Keep the model inside your infrastructure, behind your firewall, where only you can access it.
- PII/PHI compatible
Since no data ever leaves your HIPAA compliant infrastructure, private models can be used with regulated or otherwise sensitive data.
THE JAVASCRIPT MOMENT
JavaScript and Ajax transformed the Internet from a web of static content to a universe of powerful applications. It brought with it an attack surface so large that we are only now mitigating 20 years later.
Large Language Models pose a similar opportunity and threat. From exposing data to data poisoning to prompt injection and leaking, the threats are just beginning.
Protect your data with private deployments
The proxiML platform makes it easy to run, maintain, and customize private LLM deployments.
Complete Data Pipeline Custody
From model-fine tuning to augmented prompting to response generation, keep the entire process inside your secure infrastructure.
Learn MoreFine-Tune with Ease
Fine-tuning typically requires more resources than response generation. Let us spin them up for you on-demand. See how easy it is to fine-tune on the proxiML platform:
Learn MoreOn-Demand Domain Models
Some use-cases benefit from bespoke, domain specific models. proxiML Inference Jobs make it easy to manage multiple models for inference without wasting resources.