Advanced AI capabilities with secure data protection. Deploy Large Language Model technology with the security, protection and data confidentiality an enterprise expects. Safeguard your organization's sensitive information with private Azure OpenAI instances, ensuring confidentiality and compliance. Benefit from our expert consultation and leverage the power of cutting-edge language models within your Azure network.
Deploy ChatGPT in a way that complies with data protection requirements, making it suitable for organizations looking to implement Large Language Models (LLMs) without compromising on security.
The service caters to various use cases, whether you require a standard LLM or want to integrate one with your existing data sets and databases.
The offer includes expert consultation to assess your current Azure network architecture and propose suitable modifications to integrate a language model.
Our solution addresses the challenge of maintaining data security and confidentiality while implementing advanced AI capabilities, ensuring that sensitive information remains protected.
The solution ensures that the implementation of Large Language Models (LLMs) like ChatGPT complies with data protection regulations, mitigating the risk of non-compliance.
The offer tackles the challenge of integrating LLMs with your existing data sets, databases, and Azure network, providing a interoperable solution that works with your current systems.
The service solves the challenge of finding a one-size-fits-all AI solution by offering tailored LLM stacks and Human-AI Interfaces that cater to your organization's specific needs and use cases.
The Proof-of-Concept (PoC) implementation included in the offer addresses the challenge of determining whether the proposed AI solution is technically viable for your organization's use case.
The solution provides expert consultation to help navigate the complexities of implementing advanced AI capabilities, ensuring that your organization can successfully leverage the power of cutting-edge language models while avoiding potential pitfalls.
The scope of this solution consists of the following:
Perform an assessment of your current Azure network architecture, firewalls, VNets and landing zone setup. This assessment will better illustrate the best approaches to securely integrate a Large Language Model into the privacy and security of your own network.
Propose an architecture to integrate an LLM instance in your network using either Retrieval Augmented Generation or a standard LLM setup.
Based on your requirements, we will propose if your use case is best served with standard Azure OpenAI models (like GPT 3.5-Turbo or GPT 4) or if it’s better to settle for an open source (with a commercial-friendly license) model from Huggingface or similar.
We will deploy an isolated, non-production environment to demonstrate the technical feasibility of the proposed solution.
As part of this engagement, we will produce the following deliverables:
Will include all the assessment and design artifacts explained in the section above.
This is a time-boxed PoC implementation in a non-production environment.