Deployment

  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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7. Local Hardware Deployment

For those requiring on-site solutions, Local Hardware Deployment makes certain the AI runs within the client’s secure environment, maintaining data sovereignty and compliance with any relevant regulations.

8. Model Maintenance & Monitoring

After deployment, Model Maintenance & Monitoring is essential for sustained performance and security. We regularly assess the model’s accuracy, manage model drift, and apply updates or patches to address emerging threats or newly identified issues.

9. Project Closeout & Handover

Finally, we wrap up with Project Closeout & Handover, ensuring a smooth transition to the client’s operational teams. We deliver detailed documentation and training to empower ongoing success and resilience of the AI solution.

Once the project has been completed, Lanboss will continue to be on hand to assist as needed … 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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