This phase lays the foundation for the entire LLM development process and greatly influences the model's quality and ethical behavior. It begins with careful data considerations

This phase transforms the prepared data and computational resources into a functional LLM

This phase rigorously assesses the LLM's performance, reliability, and suitability for its intended purpose before deployment.

This phase involves integrating the trained and validated LLM into operational systems where it can provide its intended service.

This phase focuses on the ongoing management of the deployed LLM and iterative improvements to maintain its value and performance.

This phase focuses on properly decommissioning the LLM service when it's no longer needed, superseded by a newer model, or if its continued operation poses unacceptable risks.