Comment Section for Good old-fashioned AI remains viable in spite of the rise of LLMs | TechCrunch

The TechCrunch article discusses the continued relevance of traditional, task-based AI models amidst the rise of large language models (LLMs). Despite the increasing popularity of generalized LLMs, experts believe that task-based models are still essential in solving specific problems in the enterprise sector. These models, which were the basis of most AI in enterprises before LLMs, are not expected to disappear. Instead, they are considered another tool in the AI arsenal. While LLMs offer benefits like reusability and broad applicability, task-specific models are often faster, cheaper, and in some cases more performant as they are designed for a specific task. The article highlights the views of several industry experts, including Atul Deo, the general manager of Amazon Bedrock, and Jon Turow, a partner at investment firm Madrona. Both stress the importance of understanding the capabilities and limitations of different types of AI models in solving real-world problems.