Del curso: GenAIOps Foundations
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The generative AI application stack
Del curso: GenAIOps Foundations
The generative AI application stack
- [Instructor] Once a GenAI model is finalized, we need to build an application stack around it to provide services to the users. In this chapter, we will focus on key development aspects when building GenAI applications. A GenAI application contains several components. It has both ML and non-ML components. It also has data. These components need to work together to provide the required service. Let's discuss the key components of a reference GenAI stack. First, we have the non-ML components, namely the business application stack. It has user interfaces for users to interact with. It has backend business logic that enforces business requirements. There can be APIs that allow applications to interact with the service. There can be data stores that store business data. Then comes the AI/ML components. Here we have the GenAI models we decided on in the previous chapter. There can be other classical models too. Then there is the hardware infrastructure, like GPUs, that are needed to run…
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The generative AI application stack2 min 24 s
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Prompt management1 min 51 s
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Memory and embedding management3 min 36 s
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Agents management2 min 25 s
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Agent tools integrations1 min 48 s
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Testing generative AI applications1 min 51 s
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