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2. Canva - Wikipedia

   en.wikipedia.org/wiki/Canva

   On December 7, 2022, Canva launched Magic Write, which is the platform’s AI-powered copywriting assistant. [33] On March 22, 2023, Canva announced its new Assistant tool, which makes recommendations on graphics and styles that match the user's existing design. [34] On January 11, 2024, Canva launched its own GPT in OpenAI's GPT Store. [35]

3. Category:Jeopardy! user templates - Wikipedia

   en.wikipedia.org/wiki/Category:Jeopardy!_user...

   Main page; Contents; Current events; Random article; About Wikipedia; Contact us

4. Ken Jennings - Wikipedia

   en.wikipedia.org/wiki/Ken_Jennings

   Jennings holds numerous game show records: he is the highest-earning American game show contestant, having won money on five different programs, including $4,522,700 on Jeopardy! His original appearance on the program marks the longest winning streak, and he also holds the record for the highest average correct responses per game.

5. PowerPoint karaoke - Wikipedia

   en.wikipedia.org/wiki/PowerPoint_karaoke

   The video game Talking Points in The Jackbox Party Pack 7 is based on PowerPoint karaoke. One player presents a slideshow presentation created in real time by a second "assistant" player, using a user-generated title and provided transition phrases and pictures. A form of PowerPoint karaoke is frequently played in teams of two on Impractical ...

6. Jeopardy! - Wikipedia

   en.wikipedia.org/wiki/Jeopardy!

   The layout of the Jeopardy! game board since November 26, 2001, showing the dollar values used in the first round (in the second round, the values are doubled). Categories at the top of the board vary between each round and episode. The Jeopardy! and Double Jeopardy! rounds each feature game boards consisting of six categories with five clues each.

7. IBM Watson - Wikipedia

   en.wikipedia.org/wiki/IBM_Watson

   The high-level architecture of IBM's DeepQA used in Watson [9]. Watson was created as a question answering (QA) computing system that IBM built to apply advanced natural language processing, information retrieval, knowledge representation, automated reasoning, and machine learning technologies to the field of open domain question answering.