Are you curious what Large Language Models and Generative AIs can do for your business or operation? In a fast-moving and highly talked about field like this, it can be hard to discern what’s hype vs reality and what’s a real game changer. Over the past year, eCloud has been working with Generative AI, exploring the models, and diving into use-cases that move the needle for your business and operational teams. With our long-standing AI/ML expertise, we can help you define your goals, separate the hype from reality, and realize your business objectives with the models, services and infrastructure that fit your needs.

Our Process

First, we work backwards with you to understand your current use-case and what you’re hoping to achieve. Next, we co-develop a model with you, using either open source, Jumpstart Foundational Models with Amazon SageMaker, or through manageds services such as Amazon Bedrock. From there, we design your AWS services and infrastructure with Generative AI best practices, using industry leading established tools. This is how we develop a best-fit Generative AI approach and design everything from model stores, experimentation, endpoint deployment, pipelines, and the data infrastructure.