Generative AI can bring significant benefits to businesses by optimizing the output of tasks, identifying patterns in data, and providing insights for decision-making. It is critical that Generative AI-based Large Language Models (LLMs) are deployed in a secure, accurate and scalable fashion, where organizations and employees can take advantage of the benefits without incurring major risks to their business and data.

Overview

The AI realization offering is designed to empower your firm with the requisite technical expertise and services needed to deploy and manage generative LLMs in a robust and secure manner.

Infrastructure evaluation and deployment

We will work with your team to prioritize pre-defined use-cases for deployment. Our experienced technical team will then work with you to define the best architecture for realizing those use-cases (we recommend our Envision AI offering to help evaluate and identify business objectives for generative AI use).

Key Deliverables

• Evaluate data sources, technology infrastructure and user access rights.
• Define architecture for production implementation of LLMs, customized to your environment.

Building a Secure Knowledge Base 

LLMs can yield enormous productivity benefits for your business; however, they are not trained on proprietary or private data related to your organization. Emerscient will help implement a knowledge base using LLM accelerator solution that will be used to include company or use-case specific context into LLM interactions. The output from such interactions may contain sensitive data, therefore requiring authorization prior to display. SecureGPT allows you to easily control who can view data produced by an LLM thus bridging the access controls gap.

Key Deliverables 

• Define data sources and implement Knowledge base to production.
• Implement SecureGPT along with defined access control policies to secure your organizations knowledge base. 
• Define operational governance standards for secure use of Generative models within your business.

Design for Precision and Accuracy

For specific use cases, LLMs will require access to content in databases, perform complex math, reasoning functions or perhaps conduct public internet searches in order to achieve a goal, task or query. Our team will work with you to ensure the models operate with such functions/tools and are designed to perform as expected with precision and accuracy.

Key Deliverables

• Chaining for specific functions/tools based on use cases tied to knowledge base 
• Design secure prompting engineering and guardrail mechanisms for controlled output
• Controls for input and output monitoring for responsible use