There are a number of reasons why you might need to synthesize data for AI models. To protect privacy. In some cases, it may not be possible or desirable to use real-world data to train an AI model. For example, if you are training a model to predict medical diagnoses, you may not want to…
Tag: machine learning
The new role of Prompt engineers in AI
Prompt engineers are a new breed of AI professionals who are responsible for creating and optimizing the prompts that are used to interact with large language models (LLMs). LLMs are powerful AI systems that can generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way. However, LLMs…
Algorithmic fairness in machine learning (ML)
Algorithmic fairness in machine learning (ML) seeks to ensure that ML models are not biased against certain groups of people. This is important because ML models are increasingly being used to make decisions that affect people’s lives, such as whether to grant a loan, hire an employee, or admit someone to college. If these models…