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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.
Watsonx.ai is a platform that allows AI developers to leverage a wide range of LLMs under IBM's own Granite series and others such as Facebook's LLaMA-2, free and open-source model Mistral and many others present in Hugging Face community for a diverse set of AI development tasks.
IBM engineers designed Watson to show how computer systems can analyze and process natural language, and reach predictions or answers. And much like humans, Watson relies heavily on context.
Watson Studio provides access to data sets that are available through Watson Data Platform, on-premises or on the cloud. The platform also has a large community and embedded resources such as articles on the latest developments from the data science world and public data sets. The platform is available in on-premises, cloud, and desktop forms.
IBM Watson is a technology platform that uses natural language processing and machine learning to reveal insights from large amounts of unstructured data. [158] Watson was debuted in 2011 on the American game show Jeopardy!, where it competed against champions Ken Jennings and Brad Rutter in a three-game tournament and won. Watson has since ...
IBM SkillsBuild is a free education program focused on underrepresented communities in tech, that helps adult learners, and high school and university students and ...
In March 2015, it was announced that AlchemyAPI had been acquired by IBM and the company's breakthroughs in deep learning would accelerate IBM's development of next generation cognitive computing applications. IBM reported plans to integrate AlchemyAPI's deep learning technology into the core Watson platform [12]
IBM Watson: Cross-platform: SaaS: Free, commercial (varies by plan) 3.0: No: 50+ Both rule-based and statistical models developed by IBM Research. Neural machine translation models available through the Watson Language Translator API for developers. [4] [5] Microsoft Translator: Cross-platform (web application) SaaS: No fee required: Final: No ...
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