IR Analyst Lasell University Milpitas, California, United States
Session Abstract: This presentation offers a practical framework for integrating Large Language Models (LLM)-based AI into IR. It introduces three approaches: using off-the-shelf chatbots, deploying code-based solutions, and exploring advanced AI-powered software. Real-world examples—from data analysis and survey design to qualitative research—demonstrate each method. Emphasis is placed on optimizing performance while ensuring cost-efficiency, data privacy, and bias monitoring. Non-technical attendees will gain a clear roadmap for choosing and implementing LLM solutions aligned with their capabilities and institutional needs, while technically inclined participants will deepen their understanding of LLM training, model benchmarking, prompt engineering, and iterative output evaluation. This comprehensive guide empowers forward-thinking IR professionals to integrate AI responsibly and effectively, revolutionizing data reporting, analysis, and research with transformative, LLM-powered strategies.
Keywords: Large Language Model, AI-powered Workflow, Responsible AI, Prompt Engineering, API, Local LLM
