Microsoft Announces GPT-4 Turbo Coming Soon to Copilot, A New Dall-E 3 Model, Video Summary Now Live + Introducing Bing “Deep Search”
Two announcements from MSFT today.
Continued AI Innovation in Copilot
- Soon, Copilot will be able to generate responses using OpenAI’s latest model, GPT-4 Turbo…This model is currently in testing with select users and will be widely integrated into Copilot in the coming weeks.
- You can now use Copilot to create images that are even higher quality and more accurate to the prompt with an updated DALL-E 3 model.
- We are combining the power of GPT-4 with vision with Bing image search and web search data to deliver better image understanding for your queries. This new capability will be available soon.
- Code Interpreter – We are developing a new capability that will enable you to perform complex tasks such as more accurate calculation, coding, data analysis, visualization, math and more. We are gathering feedback on these capabilities from a select set of users and plan to make it widely available soon.
- You can now summarize or ask questions about a video that you are watching in Edge [Browser].
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Also, New Today From MSFT: Introducing Deep Search
Deep Search builds on Bing’s existing web index and ranking system and enhances them with GPT-4. GPT-4 is a state-of-the-art generative AI LLM (Large Language Model) that can create natural language text from any input. In the case of Deep Search, GPT-4 takes the search query and expands it into a more comprehensive description of what an ideal set of results should include.
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Some queries are ambiguous. For example, “how do points systems work in Japan” could refer to rewards points, as I intended, but could also be seeking information on immigration policy or something else. The expanded description may be right for one of those interpretations but not for all of them. In that case, Deep Search leverages GPT-4 to find all the possible intents and computes an comprehensive description for each of them. Deep Search offers a disambiguation pane where all of these intents are represented. If my research intent was misunderstood, I can select the right one from the disambiguation pane, and the corresponding comprehensive description will be used instead.
Bing then goes much deeper into the web with that task in mind, pulling back relevant results that often don’t show up in typical search results. Deep Search uses a combination of querying techniques to find pages that might match my expanded query, rewriting the query on my behalf, and searching for those variations too.
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About Gary Price
Gary Price (gprice@gmail.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com.