Summary
In this chapter, we covered the basis of generative AI intersecting with software development. We covered three popular programming generative AI application frameworks: Semantic Kernel, LangChain, and LlamaIndex. We also introduced LLMOps, a comprehensive framework for managing the lifecycle of a generative AI ecosystem and how Prompt Flow can simplify the management of an LLMOps strategy; together, all of these components form a comprehensive framework for developing and deploying generative AI applications and services.
We also described the lifecycle of an LLM model itself to round out the lifecycle discussion.
As we look at extensibility and automating, we delved into the world of agents and autonomous agents, such as AutoGen and AutoGPT, which can work autonomously to address extremely complex problems by using a few techniques such as chaining or networking LLMs together in collaboration.
Finally, we looked at an actual case study of a large organization and...
