Rackspace Generative AI Incubate Accelerator

Generative AI Incubate Accelerator Explore the viability of integrating AI into your business operations by launching an MVP tailored to your inaugural AI use case. Employ an agile, iterative methodology to validate your organization's capacity to develop a robust AI solution using Azure AI Foundry.

• Selecting an existing foundation model
• Defining and setting up the cloud platform
• Preparing data, adapting, and aligning the model
• Fine-tuning and integration of LLM
• Preparing data, adapting, and aligning the model
• Demonstrating, optimizing, and augmenting the model
• Building an LLM-powered application

Define requirements for the MVP, develop data pipelines, establish the AI platform, and identify success metrics for your MVP.

Key deliverables include:

• Data sources
• Technology architecture
• Selected LLM
• Fine-tuning approach & requirements
• Prompt templates and definitions

Select a foundational model then adapt, align, and fine-tune it to baseline the model’s performance against a specific task. Key deliverables include:

• Data pipelines and MLOPs
• MVP that is tuned for a specific task
• Reparameterization of the model
• Prompt tuning

Continue training the AI solution using prompt engineering and adjust temperature and P and K values to refine the model’s performance. Key deliverables include:

• Prompts, temperature and model P and K values to produce desired results
• Prompt engineering and training to improve performance against a specific task
• UI that makes it easy to interact with the inference
• Gaps to close before industrializing the AI

A customized pricing estimate is included in the consultative process and will be calculated based the scope of services, billed monthly