The Limits of ChatGPT's Intelligence
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AI has many opportunities if we understand how models like ChatGPT work, but they lack true understanding despite producing accurate results.
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The strength of models like ChatGPT is producing human-like text by calculating word probabilities, not reasoning. Fine-tuning them for specific domains improves performance.
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Models cannot truly think, understand, or reason; they guess answers based on probability. In generative AI this causes "hallucinations".
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It's hard to test if complex generative AI answers are correct, especially at scale. More benchmarks and custom tests based on log data would help.
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To exploit the strengths and mitigate the weaknesses of AI models requires lots of data and storage infrastructure to collect, store, and serve it.