1、TESTING GENERATIVE AI:MITIGATING RISKS AND MAXIMIZING OPPORTUNITIESEBOOKPage 2 of 18 SECTION TITLE HERE1The Basics of Generative AIA novel technology that creates content based on user requests known as prompts,Generative AI(Gen AI)applications can produce new text,images,video and audio by synthesi

2、zing,summarizing,or generating content.While users interact with Gen AI much like they do a search engine,the way the two technologies generate responses is very different.Whereas search engines retrieve information in the format in which it is stored,Gen AI analyzes huge amounts of human-generated

3、data,known as training data,to learn how to respond to user requests in a way that provides value.The analysis is carried out by a large language model(LLM),a type of neural network.Over time,humans must continue to provide LLMs with fresh training data to fine-tune the model and keep the informatio

4、n it learns from up to date.Gen AI can automate and enhance any number of business tasks,ranging from drafting emails and generating financial reports to creating marketing content and analyzing customer interactions and use cases are expanding daily.Today,the technology is largely used to improve p

5、roductivity and personalize user experiences.Popular Gen AI applications include ChatGPT(OpenAI),Gemini(Google)and Copilot(Microsoft).While each application currently mainly offers text-based inputs,voice interaction is on the rise.Midjourney,Stable Diffusion and DALL-E are popular applications in t

6、he image generation category.UNDERSTANDING GENERATIVE AI1Page 3 of 18 Testing Generative AI:Mitigating Risks and Maximizing OpportunitiesKey terms explainedLarge language models(LLMs)AI foundation models,including large language models(LLMs)and diffusion models,power the vast majority of Gen AI appl