Working with Large Language Models (LLMs) as a Prompt Engineer.
This session explores how linguists contribute to the development and optimization of large language models (LLMs), transforming language generation capabilities. Gain insights into how linguistic expertise informs prompt engineering, allowing for precise and contextually relevant outputs from LLMs across various applications. Panelists discuss collaborative methodologies, ethical considerations, and the evolving landscape of GenAI within linguistic research and industry. Explore how linguists are shaping the future of generative AI and its impact on language understanding and communication.
Topics Covered: Large language model (LLM), generative AI, Tech, Retrieval Augmented Generation (RAG), Prompt engineer
Moderator: Chris Stewart (Google)
Panelists: Mark Norris (Grammarly), Caroline de Brito Gottlieb (Nvidia), & Claire Piquette (Magnet Forensics)
Production: Carolyn Siegman
Location: LCL24
Date: Friday, July 19, 2024
LCL24 was organized by:
Emily Pace
Alfonso Sánchez-Moya
Lucy Cheng
Victoria Hamilton
Live Production: Carolyn Siegman & Tamaya Levy
Closed Captioning: Emily Pace
Video Editing: Gregory Gray
Intro/Outro Music: Setuniman
Music licensed under the Creative Commons Attribution Noncommercial License
Video: © 2024 Linguistics Career Launch