As the adoption of Large Language Models (LLMs) continues to increase, the emphasis on how to effectively interact with these models has become crucial. With the development of charging models such as price per token, it is imperative to create efficient prompts. Additionally, prompt engineering must ensure data protection and privacy. This shift necessitates a reevaluation of the skills required for AI professionals.
AI in Language Acquisition Research
AI, particularly through the use of advanced natural language processing (NLP) techniques and models like OpenAI's GPT-4, has significantly contributed to language acquisition research. This interdisciplinary field aims to understand how humans acquire and process language, drawing from linguistics, psychology, neuroscience, computer
Council Post: Linguistics Proficiency for Interacting with Large Language Models (LLMs)
- By Sai krishnan Mohan
- Published on
Historically, education has prioritized scientific disciplines and mathematics over literature and linguistics.
