Talk to Books is an AI product by Google that can be used to interact with the content written in books that are already published. Source: 11 months ago
You can also use Google's Talk to Books that uses a neural network to search them. It's very handy! Source: about 1 year ago
Talk to books (https://books.google.com/talktobooks) : With talktobooks, you can talk to a book like in the same way as we talk to humans. Source: about 1 year ago
While I couldn't find the quote you mentioned, you can try using Talk to Books, an AI where you ask a question and it shows a quote from a book. Source: over 1 year ago
For example, projects such as https://books.google.com/talktobooks/ that allow people to experience AI without programming. - Source: Hacker News / over 1 year ago
Around 2016, my research group at Google, led by visionary Ray Kurzweil, demonstrated the use of dual encoders for embedding-based response prediction in email. In 2017, I began work with two colleagues on zero-shot dual-encoder models for answer retrieval over large, arbitrarily-defined text corpora. The introduction of transformers a few months later pushed the system’s performance to viability, and in 2018,... Source: over 1 year ago
Https://books.google.com/talktobooks/ - Browse passages from books using experimental AI. Source: over 1 year ago
For the second, is Google's Talk to Books what you were thinking of? Source: over 2 years ago
Hi Dmitry, I am cofounder of ZIR AI (https://zir-ai.com/). I researched neural information retrieval at Google, before starting ZIR in 2020. (Note: Vespa, who appear in your article, reference some of my work in [1]) To give you some historical perspective, embedding based retrieval on large text corpora became viable only after the introduction of transformers in 2017. Google Talk to Books... - Source: Hacker News / over 2 years ago
Do you know an article comparing Talk to Books by Google to other products?
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