Stanford AI researchers propose a new instantaneous search method using neural IR and the ColBERT model

Web research is expected to evolve dramatically over the next decade, as it combines recent advances in artificial intelligence, especially those related to massive neural language models such as GPT-3.

We can think of replacing the whole system with a black box model that directly answers any question you ask in a futuristic vision. No longer do you have to browse search results, click links, and then scroll through pages. It might sound appealing at first, but it poses significant problems in terms of reliability and trust. Is the information collected by the system accurate and where does it come from?

Instead, researchers at Stanford come up with a solution that combines the best features of current research technology with recent advances in AI. This area of ​​study is known as Neural Information Retrieval (IR), and they are working on a method based on the Colbert model.

Neural IR is an innovative new area of ​​research at the intersection between NLP and IR. It has already produced impressive results ahead of its time, with Google and Microsoft announcing that Neural IR will be used in their search engines this year to improve functionality for users on different platforms. The best part? This cutting edge technology continues to advance as more organizations explore ways to help them grow!

Their suggestion is modest in that it preserves the essential components of today’s web search user experience. However, there is a lot of evidence that it can lead to much better systems while maintaining reliability and trust.

Researchers are working on cutting-edge technology at the intersection of natural language processing and information retrieval. These innovations have incredible potential to change our lives in all aspects, from technology to society. The brains behind these advancements are neural language models that Stanford researchers say need to be applied with caution – because they know that while that seems like a perfect answer when you ask them questions, the language models don’t. will never be infallible oracles. The most advanced neural IR methods, like ColBERT and Baleen, use these models to improve research results while maintaining confidence.

Supporting document: https://arxiv.org/pdf/2105.02274.pdf

Source: https://hai.stanford.edu/news/moderate-proposal-radically-better-ai-powered-web-search

Brandon D. James