Summary

Azure OpenAI models elevate the power of large language models at the enterprise level, and they have the potential to revolutionize enterprise operations across a wide range of industries.

By leveraging state-of-the-art NLP, businesses can automate mundane tasks, optimize complex processes, and unlock valuable insights from data.

In this chapter, we looked at concrete use cases in the field of contract analysis and generation, call center analytics, and semantic search for a custom knowledge base. We did this with a step-by-step tutorial in Python and, finally, with a frontend in Streamlit.

Of course, successful integration of Azure OpenAI models requires a strategic approach, including identifying relevant use cases, selecting appropriate tools and platforms, and investing in employee training and development. As the field of AI continues to evolve, enterprises must stay up to date with the latest trends and innovations to remain competitive and realize the full...