Published: 13 March 2024
Scaling GenAI delivery across product teams requires creating supportive team structures. To address this, software engineering leaders can use the Team Topologies approach to bridge competency gaps, ensure model ownership and provide a platform that offers GenAI capabilities “as a service.”
Given the nascent stage of generative AI (GenAI) in the industry, product teams currently lack the requisite skills and exposure to proven practices and patterns. For example, identifying use cases for GenAI and determining the right patterns to integrate GenAI models while meeting AI governance needs.
As GenAI models are integrated into software products, they become mission-critical capabilities that must continuously adhere to rigorous accuracy, governance and scalability requirements. These requirements place extraneous cognitive load on product teams.
Product teams delivering early GenAI capabilities make ad hoc, locally optimized decisions about GenAI engineering tools (e.g., fine-tuning, retrieval augmented generation
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