AI refers to the simulation of human intelligence in machines that are programmed to think and learn like humans. It encompasses various subfields such as machine learning, natural language processing, and robotics. Generative AI (GenAI) refers to deep-learning models that have been trained on massive amounts of information (think all of Wikipedia, the digital contents of museums, famous works of fiction, and more!) and can create entirely new works from this information.
GenAI tools can assist with tasks including:
- Answering complex questions: Providing detailed, context-aware answers to a wide range of questions.
- Summarizing long texts: Condensing lengthy documents, articles, or books into concise summaries.
- Creating and enhancing visual content: Producing images, enhancing photos, and even creating original artwork.
- Developing interactive simulations: Generating virtual environments for training, education, and entertainment purposes.
- Composing music: Creating original musical compositions in various styles and genres.
- Assisting in scientific research: Helping design experiments, analyze data, and even generate hypotheses.
- Optimizing workflows: Streamlining processes by automating repetitive tasks and suggesting improvements.
- Predicting outcomes: Analyzing data to forecast trends, outcomes, and behaviors in fields such as finance, healthcare, and marketing.
- Translating languages: Providing accurate and context-sensitive translations between multiple languages.
The extent to which you can use AI in your coursework is dependent on your professor. This will vary from course to course and professor to professor. Always check with your professor and syllabus to verify how you are or are not allowed to use AI in your class.
Want to learn more? Visit these links for further information.
