Starting a generative AI project, particularly one involving large language models (LLMs), requires a multitude of well-coordinated steps and a broad range of skills. Here, we delve deep into the lifecycle of such projects, underlining the process and the necessary adaptations in the traditional software development roles.
The Generative AI Project Lifecycle
Embarking on a Generative AI project is a journey of discovery and innovation, but understanding its lifecycle can help you navigate the way more effectively. From the spark of the initial idea to the continuous monitoring post-deployment, every step in this journey holds significance. In this blog, we present a comprehensive view of the Generative AI project lifecycle, shedding light on each phase and the intricate processes within them. This section will provide a roadmap, enabling teams and individuals to envision the broader picture and intricacies involved in realizing a Generative AI project.