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2. ChatGPT - Wikipedia

   en.wikipedia.org/wiki/ChatGPT

   In November 2023, research conducted by Patronus AI, an artificial intelligence startup company, compared performance of GPT-4, GPT-4-Turbo, Claude2, and LLaMA-2 on two versions of a 150-question test about information in financial statements (e.g., Form 10-K, Form 10-Q, Form 8-K, earnings reports, earnings call transcripts) submitted by public ...

3. Perplexity.ai - Wikipedia

   en.wikipedia.org/wiki/Perplexity.ai

   Perplexity. Perplexity AI is an AI chatbot -powered research and conversational search engine that answers queries using natural language predictive text. [2] [3] Launched in 2022, Perplexity generates answers using sources from the web and cites links within the text response. [4] Perplexity works on a freemium model; the free product uses its ...

4. Brainly - Wikipedia

   en.wikipedia.org/wiki/Brainly

   Brainly is an education company based in Kraków, Poland, with headquarters in New York City.It is an AI-powered homework help platform targeting students and parents. As of November 2020, Brainly reported having 15 million daily active users, making it the world's most popular education app. In 2024, FlexOS reported Brainly as the #1 Generative AI Tool in the education category and the #6 ...

5. Google's AI search overhaul raises 'more questions than ... - AOL

   www.aol.com/finance/googles-ai-search-overhaul...

   New generative AI features will give users more complete and direct answers, offering a conversational overview powered by AI technology. The transition marks an overhaul of Google’s core search ...

6. Can AI convincingly answer existential questions? - AOL

   www.aol.com/study-tests-whether-ai-convincingly...

   A new study has explored whether AI can provide more attractive answers to humanity’s most profound questions than history’s most influential thinkers. Researchers from the University of New ...

7. Question answering - Wikipedia

   en.wikipedia.org/wiki/Question_answering

   Question answering. Question answering ( QA) is a computer science discipline within the fields of information retrieval and natural language processing (NLP) that is concerned with building systems that automatically answer questions that are posed by humans in a natural language. [1]