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User stories

Motivation¤

The intent of these user stories is to provide a north star for this project.

Actors¤

  • Application Developer:

  • Business Application Owner:

The Business Application Owner is concerned with the business value the LLM delivers.
  • Data Engineer:
The Data Engineer actor is responsible for accessing, importing, and preparing data that is used by the LLM.
  • Data scientist:

  • Platform engineer:

  • Security architect:

  • Security engineer:

User stories¤

  • As an Application Developer I want to be able to serve (multiple) LLM applications from my platform.

  • As Business Application Owner I want my LLM to be up to date with my systems of record.

  • As a Data Engineer I need to manage the lifecycle of data surrounding an LLM application, including: Ingestion & preparation; building training datasets; Collecting QA data.

  • As a Data Scientist I want to be able to produce an optimised LLM model to support the business use case.

  • As a Data Scientist I want ready access to the latest opensource LLM innovations without getting in trouble with security.

  • As a Platform Engineer I want to provide a platform enabling self-service for LLM development from experiment to production, while maintaining efficient use of the infrastructure (as a service) investment

  • As a Security Architect I want LLM development initiatives to comply with my enterprise-wide security policies and controls.

  • As a Security Architect I want to be able to measure and enforce that all software, models, and data come from trusted sources.

  • As a SOC analyst I want sufficient capabilities to detect, investigate and correct security related events as they apply to the LLM platform and workloads