Building Helpful Language Models - Challenges and Solutions

Explore the challenges and advancements in building helpful language models in this 45-minute lecture by Daniel Khashabi from Johns Hopkins University. Delve into the limitations of large language models and learn about innovative approaches to overcome them. Discover the concept of "Self-Instruct" for efficient model alignment, and understand the "according-to" prompting technique to combat hallucinations by tracing outputs to reliable sources. Gain insights into ongoing research on adapting language models to interact with web pages. Examine the progress made in creating more robust, transparent, and communicative NLP systems, and consider the future implications for the field of artificial intelligence and natural language processing.

Introduction
Helpfulness
Language Models
Recipe
Paradigm
Selfinstruct
Evaluation
Controversy
Hallucination
Question
QA