Preparation

  1. Project Initiation & Discovery
  2. Data Assessment & Preparation
  3. Dataset Creation and Preprocessing
  4. Model Selection & Training Preparation
  5. Model Fine-Tuning
  6. Embedding and Retrieval-Augmented Generation (RAG) Integration
  7. Local Hardware Deployment
  8. Model Maintenance & Monitoring
  9. Project Closeout & Handover
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1. Project Initiation & Discovery

We begin with Project Initiation & Discovery, where we clarify the project’s objectives, success metrics, and stakeholder requirements. By understanding the client’s unique needs upfront, we set the foundation for a robust, secure, and efficient AI solution.

2. Data Assessment & Preparation

Next comes Data Assessment & Preparation, where we identify, evaluate, and structure the relevant data needed for modeling. This includes validating data integrity and implementing strict data security protocols to protect sensitive information.

A preparation phase in isolation can be very useful in scoping your bespoke AI project… contact us for more info

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If you’re an exceptional Python developer, Data Scientist, API specialist, Trainer, Engineer or Technologist - looking to lead the charge in cutting-edge AI systems development and deployment, we want to hear from you!

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