(11 Jan 2024) There are two primary LLM branches: generative AI (like OpenAI’s GPTs and models from Anthropic, Google, and Facebook) known for crafting text, and the less-heralded interpretive AI (exemplified by BERT—Bidirectional Encoder Representations from Transformers) designed to understand text.
ChatGPT has popularized generative AI, sparking immense interest. BERT has quietly remained in the shadows. Interpretive AI offers profound insights into content and audience engagement, a critical tool for publishers aiming to harness the full potential of AI.
This article aims to shed light on interpretive AI – its significance as a standalone technology, and its role in complementing and enhancing our understanding and application of generative AI. To start, let’s explore why generative AI alone isn’t the solution to every problem.
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