Generative AI, NLP, and Insights
About This Video
Workshop will start with a brief overview of generative AI models for text generation, including OpenAI’s GPT models. This will then transition into a brief demo of generative text models in action and some tips on good prompting.
We’ll then overview a few types of useful NLP tools, including emotional content scoring/advanced sentiment analysis, sentence embeddings, and classification models. We’ll then see these tools in action as we score a series of AI-generated sentences for sentiment, build sentence embeddings, and classify our text sample with an scikit-learn classification model.
We’ll finish the workshop with a brief discussion of NLP, generative models, and AI ethics (particularly around bias, good data sources, and the potential for technology misuse).
Participants will learn how to leverage NLP tools for both text generation and text classification on real-world problems with practical applications of AI ethics.
In This Video
Chief Mathematician, Two Stealth Start-Ups and Candlesticks
Colleen M. Farrelly is a data science leader whose expertise spans topological data analysis, network science, natural language processing, and generative AI. Her industry expertise include nuclear engineering, educational technology, biotech, healthcare, marketing, and adtech. Currently, she is a start-up cofounder and advisor in the generative AI and geometry spaces. She is the author of The Shape of Data, an introduction to machine learning from a geometric point of view.
In her free time, Colleen enjoys AI art contests, creative writing, and water sports. She’s proud of her recent AI art contest wins, an international haiga prize for 2022, and a nomination for best science fiction of 2022.