Generative AI: Expert Guides and Resources

ChatGPT took the world by storm shortly after its debut, and it hasn’t slowed down since. If you’re feeling at a loss as to what to do now, frustrated  with trying to get it to work well, or uncertain about how to react to AI entering your space, this cheat sheet will help you make some quick and meaningful headway that you can build on as you go.

Artificial intelligence (AI) offers a lot of promise to companies, but deploying AI can be complex with many considerations and pitfalls. Data is the necessary asset to make AI work, and your organization is probably swimming in it.But how well-managed is your data? The answer hinges on whether your company will be successful in its AI efforts.

As you delve deeper into the realm of prompt engineering, you find out that the effectiveness of a prompt can vary greatly depending on the application. Whether you’re using AI for creative writing, data analysis, customer service, or any other specific use, the prompts you use need to be tailored to fit the task at hand.

The first public release of ChatGPT ignited the world’s demand for increasingly sophisticated Generative AI (GenAI) models and tools, and the market was quick to deliver. But what’s the use of having so many GenAI tools if you get stuck using them? And make no mistake, everyone gets stuck quite often!This cheat sheet helps you get the very best results by introducing you to advanced (but pretty easy) prompting techniques and giving you useful tips on how to choose models or applications that are right for the task.

The landscape of contract lifecycle management (CLM) is rapidly evolving with the advent of advanced technologies like generative AI (Gen AI). Gen AI is a new iteration of AI whose key benefit is the generation of new content based on the patterns and information it’s learned from existing datasets.Gen AI isn’t a trend or a fad.

We depend on machines to produce everyday essentials — such as power, food, and medicine — and to support nearly every aspect of society. Thus, machine health is vital to overall manufacturing and business health. Machine health transforms reliability, maintenance, operations, and asset performance management by using artificial intelligence (AI) and Internet of Things (IoT) technologies to improve performance, reduce downtime, and help manufacturers reach Industry 4.

Indeed, prompting is both the easy part and the most difficult part of using a generative artificial intelligence (AI) model, like ChatGPT. Difficulties in the complexity of cues and nuances in text-based prompts are why some organizations have a prompt engineering job role. ©Goodluz / Adobe StockWhat is a ChatGPT prompt?