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Imagine a world where large language models (LLMs) deliver accurate, meaningful responses without the constant need for prompt engineering! By focusing on a strong backend architecture from the start, we can eliminate common issues like hallucinations and incomplete answers. This approach not only streamlines the user experience but also enhances the overall effectiveness of LLMs. Discover how thoughtful design can transform the way we interact with AI, making it smarter and more intuitive. Let’s build the future of AI together! #AI #UXDesign #MachineLearning #LanguageModels #TechInnovation
Imagine a world where large language models (LLMs) deliver accurate, meaningful responses without the constant need for prompt engineering! By focusing on a strong backend architecture from the start, we can eliminate common issues like hallucinations and incomplete answers. This approach not only streamlines the user experience but also enhances the overall effectiveness of LLMs. Discover how thoughtful design can transform the way we interact with AI, making it smarter and more intuitive. Let’s build the future of AI together! #AI #UXDesign #MachineLearning #LanguageModels #TechInnovation
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How to design LLMs that don’t need prompt engineering
Standard LLMs rely on prompt engineering to fix problems (hallucinations, poor response, missing information) that come from issues in the backend architecture. If the backend (corpus processing) is properly built from the ground up, it is possible t
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