TL;DR We explored the concept of LNMs (Large Numerical Models) with ChatGPT
https://www.artificial-intelligence.show/the-ai-podcast/large-numerical-and-mathematical-models-for-ai
Like with LLMs (large language models – designed for natural language processing tasks such as language generation) being focused on text, would it make sense to create an equivalent considered or called a LNM (large numerical model) that would be suitable for solving mathematical problems in tandem with LLMs?
Yes, creating a dedicated Large Numerical Model (LNM) would make sense for tackling complex mathematical problems. Here’s why and how such a model might be structured:
Why LNMs Would Be Valuable
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Specialized Focus … while LLMs like GPT are trained on diverse datasets, including text, code, and some mathematical concepts, they aren’t optimized for precise numerical reasoning or mathematical proofs. LNMs could excel in these domains.
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Numerical Precision … LNMs could focus on ensuring numerical stability,