Programming Large Language Models with Azure Open AI: Conversational programming and prompt engineering with LLMs

Chapter 5

Security, privacy, and accuracy concerns

Up to this point, this book has predominantly explored techniques and frameworks for harnessing the full capabilities of LLMs. While this has been instrumental in conveying their power, the book has thus far neglected certain critical aspects that must not be overlooked when working with these language models. These often-overlooked facets encompass the realms of security, privacy, incorrect output generation, and efficient data management. Equally important are concerns that relate to evaluating the quality of the content generated by these models and the need to moderate or restrict access when dealing with potentially sensitive or inappropriate content.

This chapter delves deeply into these ...