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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.
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. For ...
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.
In 2013, IBM developed Watson, a cognitive computer that uses neural networks and deep learning techniques. [5] The following year, it developed the 2014 TrueNorth microchip architecture [ 6 ] which is designed to be closer in structure to the human brain than the von Neumann architecture used in conventional computers. [ 1 ]
IBM held a conference named World of Watson, centered around its AI products and Watson, a QA computer AI system in Las Vegas, on October 29 – November 2. [2] IBM delivered several speeches related to Watson's capabilities and its possible integration to health and business sectors, which were criticized 2 years later by IEEE Spectrum to be exaggerated.
Learning the Game Like any artful player, however, Watson developed a sense of when to hold, to fold or to play. Watson knew the Toronto answer could be big-time bust, so it wagered a mere $947.
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.
A use case diagram [1] is a graphical depiction of a user's possible interactions with a system. A use case diagram shows various use cases and different types of users the system has and will often be accompanied by other types of diagrams as well. The use cases are represented by either circles or ellipses. The actors are often shown as stick ...