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ChatGPT creator OpenAI has revealed new tools that it claims can consider their answer before they respond. The systems are aimed to reasoning more deeply so that they can better help with more ...
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.
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 ...
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.
ChatGPT is a generative artificial intelligence chatbot [2] [3] developed by OpenAI and launched in 2022. It is currently based on the GPT-4o large language model (LLM). ChatGPT can generate human-like conversational responses and enables users to refine and steer a conversation towards a desired length, format, style, level of detail, and language. [4]
Then there’s the question of accuracy, groundedness, and ensuring that an AI-powered chatbot is actually answering the questions posed by its human subjects. Despite these challenges, Intercom ...
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