Summary

Phew! That was a lot of stuff! Let’s do a quick recap.

This chapter began with an examination of foundation models, exploring how they work and the potential for bias in these models. It then delved into the enterprise use of foundation models, with a particular focus on bias remediation. Biases in GPT-3 and the limitations of large language models were also explored. We then provided an overview of OpenAI and Azure OpenAI, with a detailed look at the Azure OpenAI platform. Azure OpenAI was examined in depth, with information provided on accessing the API, the Code of Conduct, content filtering, use cases, governance, and potential risks. The chapter also covered data privacy and security for Azure OpenAI Service, as well as AI governance for enterprise use.

This chapter also provided a guide to getting started with Azure OpenAI and consuming the GPT-3 model using an API. It concluded with an overview of Azure OpenAI Service models, including the code generation...