Sessions are from 10am-12pm and 1pm-3pm in Bobst Lower Level 1, Rm. 51 at the Elmer Holmes Bobst Library.
Finding and organizing project files, with emphasis on specifics of Mac and Windows systems
Key shortcuts and skills around command-line tools on Mac and Windows systems–automate the boring stuff
File naming, bulk renaming, and description
Setting up personal storage environment and cloud-storage clients, establishing backup systems
Installation of open-source software and understanding software dependencies
Understanding of how data files (text, tabular) store (encode) characters and sustainable ways to keep files usable over many years
Introduction to common formats for storing and collecting data (tabular, JSON, SQL)
Cleaning and transforming untidy data
Special case studies of spatial data files, image files, time-based media files–how they work and why they are more complex
Identify the ethical issues and data privacy risks associated with generative AI use
Think critically about generative AI use to support research and analyze the quality and accuracy of AI outputs
Explore NYU supported generative AI offerings
Evaluate Generative AI Tools for Academic Research
Sessions are from 10am-12pm and 1pm-3pm in Bobst Lower Level 1, Rm. 51 at the Elmer Holmes Bobst Library.
Better understand key concepts behind how large language models (LLMs, like GPT-4, Llama, etc.) work with text when generating responses to user prompts, including tokenization, next-word prediction, context windows, and related concepts.
Experiment with how changing user prompts as well as changing models and model parameters can result in different outputs on tasks in order to develop a critical understanding of the affordances and limitations of LLMs for various academic tasks.
Sessions are from 10am-12pm and 1pm-3pm in Bobst Lower Level 1, Rm. 51 at the Elmer Holmes Bobst Library.
Learn about strategies for narrowing and improving LLM responses, specifically using a retrieval-augmented generation to introduce relevant external sources of information.