Weaknesses in LLMs
We dive into the often-overlooked weaknesses of Large Language Models (LLMs) like ChatGPT. From the perspective of a seasoned data scientist, the post explores the intrinsic limitations of these models in a business context. Key points include the ‘fit’ process of LLMs, their inability to recognize or admit errors, and their tendency to please. The post also examines the ‘fit’ concept in detail, highlighting how LLMs, while powerful, should be used as part of a broader decision-making toolkit rather than standalone solutions. This insightful exploration sheds light on the importance of understanding and strategically leveraging LLMs’ capabilities and limitations.
