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A guide to building product in a post-LLM world | Ryan Glasgow and Kevin Mandich from Sprig

In Depth

CHAPTER

The Limitations and Challenges of LLMs

The speakers discuss the limitations and challenges of large language models (LLMs) in this chapter. They highlight the inability of LLMs to answer quantitative questions and perform basic math, as well as the potential impact on trust and adoption. They also explore Auto GPT as a promising development for breaking down complex tasks and discuss the medium term vision of their product.

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