Council Post: Linguistics Proficiency for Interacting with Large Language Models (LLMs)

Historically, education has prioritized scientific disciplines and mathematics over literature and linguistics.
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
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Sai krishnan Mohan
Sai krishnan Mohan, Vice President (Data & Analytics) at Bajaj Auto Ltd. He is a leader in Data Management, Analytics, and Digital Transformation, dedicated to driving business impact through data across various industries, including Technology, Manufacturing, Banking, Logistics, Supply Chain, and IT-enabled services. With over 20 years of experience at renowned companies like Honeywell, Evalueserve, ANZ, and Infosys, he has established and led research, analytics, transformation, and data management functions, aligning them with organizational goals. His work involves leveraging technology to generate valuable insights, implementing analytical tools and models for business growth and cost optimization, and building partnerships to strengthen business capabilities. In the past 7 years, he has successfully developed in-house delivery centers of excellence for analytics, management reporting, automation, and finance systems with a strong entrepreneurial spirit.
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