Getting Started with Generative AI
Leverage Large Language Models to accelerate your business
Are you curious what Large Language Models like ChatGPT and other Generative AIs can do for your business? In a fast-moving field like this, it can be hard to discern what’s hype and what’s a real breakthrough. Over the past year, Mission Cloud has been working with Generative AI, exploring the models, and diving into use-cases. 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 and infrastructure that fit your aims.
Incorporating Generative AI in Your Business
First, we work backward 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 or a foundational model’s API.
From there, we design your AWS infrastructure with Generative AI best practices, using established tools.
Through this process, we analyze things like:
Which model matches your use case and budget objectives
What are your business needs
What usage patterns do you expect
Curating a historical training dataset
Prompt engineering best practices for your solution
Automation opportunities for QA, Training, and Parameter Validation
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. As a part of every engagement, we document this system from top to bottom and conduct extensive knowledge transfer so that your team can maintain it into the future.
Want to learn more about how to build your Generative AI with best practices and scale its development on AWS? Take a FREE 60-minute consultation with one of our AI specialists to discuss your ideas, concerns, and needs.
Mission Cloud is a next-generation cloud services provider, combining managed and professional services. We help businesses migrate, manage, modernize and optimize their AWS environments at every stage of their cloud journey.
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