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dwhitena authored Aug 22, 2024
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description: Reliable, future proof AI predictions
---

Prediction Guard allows you to seamlessly integrate private, controlled, and
compliant Large Language Models (LLM) functionality. In addition to providing a
scalable LLM API, we enable you to prevent hallucinations, institute governance,
and ensure compliance (all while delighting customers with magical AI features).

Using Prediction Guard gives you quick and easy access to state-of-the-art LLMs,
without you needing to spend weeks figuring out all of the implementation details,
managing a bunch of different API specs, and setting up a secure infrastructure
for model deployments.

LLMs are hosted by Prediction Guard in a secure, privacy conserving environment
built in partnership with Intel's Liftoff program for startups.
Prediction Guard allows you to integrate secure, private GenAI functionality into your
software applications via an easy-to-use API. The API can be self-hosted or accessed via
our managed cloud offering. These docs are relevant to both the self-hosted and managed
cloud offerings (although a self-hosted installation might have a variety of custom
models deployed that are not listed throughout these docs).

**Note - Prediction Guard does NOT save or share any data sent to these models
(or responses from the models). Further, we are able to sign a BAA for customers
Expand All @@ -23,17 +16,7 @@ needing HIPAA compliance. [Contact support](support) with any questions.**
**Note - We only integrate models that are licensed permissively for commercial
use.**

## Open Access LLMs (what most of our customers use) 🚀

Open access models are amazing these days! Each of these models was trained by a
talented team and released publicly under a permissive license. The data used to
train each model and the prompt formatting for each model varies. We've tried to
give you some of the relevant details here, but shoot us a message
[in Discord](support) with any questions.

## Getting Started

Here you'll find information about how to integrate with our API and example implementations.
Click below to explore and get started!

<Cards>
<Card
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