Uncovering the Limitations of Language Models: Exploring Alternatives for Mathematical Problem-Solving
Introduction:
The emergence of language models, such as the GPT series by OpenAI, has brought significant advancements in natural language processing. These models have showcased impressive capabilities in various tasks, such as text generation, summarization, and autocompletion. However, when it comes to solving complex mathematical problems, these models fall short of expectations. In this article, we explore the reasons behind the limitations faced by language models in mathematical reasoning and the necessity of utilizing alternative approaches.