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2. 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.

3. Question answering - Wikipedia

   en.wikipedia.org/wiki/Question_answering

   Question answering systems in the context of [vague] machine reading applications have also been constructed in the medical domain, for instance related to [vague] Alzheimer's disease. [3] Open-domain question answering deals with questions about nearly anything and can only rely on general ontologies and world knowledge. Systems designed for ...

4. Generative AI can’t shake its reliability problem. Some say ...

   www.aol.com/finance/generative-ai-t-shake...

   Symbolic AI helped create the chess-playing computers that culminated in Deep Blue, the IBM system that defeated world champion Garry Kasparov in 1997, and it also was behind the first chatbots ...

5. Your 'friendly AI assistant' has arrived to your search bar ...

   www.aol.com/friendly-ai-assistant-arrived-search...

   While Microsoft's offerings make use of OpenAI's GPT-4 large language model, many others use a proprietary system. Meta AI, for example, is called LLaMA 3, which gathers information from a wide ...

6. OpenAI - Wikipedia

   en.wikipedia.org/wiki/OpenAI

   OpenAI is an American artificial intelligence (AI) research organization founded in December 2015 and headquartered in San Francisco, California. Its stated mission is to develop "safe and beneficial" artificial general intelligence (AGI), which it defines as "highly autonomous systems that outperform humans at most economically valuable work ...

7. OpenAI’s New Ad Shows 'Reasoning' AI Making Basic Errors - AOL

   www.aol.com/news/openai-ad-shows-reasoning-ai...

   This technique often yields more accurate answers than having a model spit out an answer reflexively, and OpenAI has touted o1’s reasoning capabilities—especially when it comes to math and coding.