Search results have improved leaps and bounds over the years. Still, the approach is far from perfect.
Though they have their own shortcomings large language models like GPT-3 are much more flexible and can construct novel replies in natural language to any query or prompt.
A Google team suggests that the next generation of search engines might synthesize the best of all worlds, folding today’s top information retrieval systems into large-scale AI.
A key advance would be moving beyond algorithms that only model the relationships between terms (such as individual words) to algorithms that also model the relationship between words in an article.
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