I’m happy to announce our next
@I3Open Upskilling session, Thursday August 21 at noon (New York time / EDT). By far, our most requested topic was Large Language Models, so I’m excited that I was able to enlist Navid Asgari (Fordham) and his coauthor Deepak Nayak (OSU) for this session. Navid co-founded Cogneunce, an AI-based mental healthcare startup and is also a research fellow at IBM Watson. here's a summary:
Large language models (LLMs) are opening new possibilities for research, especially in tasks like classification, sentiment, or theme extraction, and sub-corpus analysis. But navigating the growing range of models and tools can be overwhelming, and many researchers worry about cost, data quality, and hallucination. This session offers a practical, research-focused overview of how to use LLMs effectively and affordably. We’ll compare model types, discuss open vs. closed access, and walk through strategies like prompt design, retrieval-augmented generation (RAG), and lightweight fine-tuning. The focus will be on helping you choose the right tools for your research tasks, without compromising on accuracy or breaking the bank.
Sound interesting? Register for the zoom at this link:
cornell.zoom.us/meeting/regi…