Large language models (LLMs) like ChatGPT promise transformative potential, but are they as reliable as they seem? In this episode, we explore the four critical limitations of LLMs: their struggles with complex reasoning, reliance on training data that can lead to inaccuracies, inability to interpret nuanced prompts, and lack of planning or execution skills. Discover why startups must pair AI's strengths with human expertise and complementary technologies to build successful, trustworthy applications. Join us for an insightful discussion on finding the right balance between innovation and oversight in the AI-driven future.

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