Data Strategy: Use cases & Ideas
<p>While the advent of generative AI and large language models has taken the tech world by storm over the past 18 months, real-world applications in many industries remain exploratory at best. This is especially true in the pharmaceutical research arena, where the reliability and scalability of these models for mission-critical use cases is still very much an open question.</p>
<p>One undeniable truth about today’s large language models is that they are prone to hallucinating or generating fictional content passed off as fact. As impressive as their fluency can seem, these are not truly intelligent reasoning engines. They are powerful pattern matchers, adept at piecing together plausible-sounding outputs from their training data.</p>
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