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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.
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 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.
A chatbot is a software application or web interface that is designed to mimic human conversation through text or voice interactions. [1] [2] [3] Modern chatbots are typically online and use generative artificial intelligence systems that are capable of maintaining a conversation with a user in natural language and simulating the way a human would behave as a conversational partner.
Drives the Gemini chatbot, formerly known as Bard. [57] GigaChat, a chatbot by Russian Sberbank. [58] GPT-3, a 2020 language model developed by OpenAI that can produce text difficult to distinguish from that written by a human. [59] Jabberwacky, a chatbot by Rollo Carpenter, aiming to simulate natural human chat. [60]
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An aerial satellite view of the center's main building. The center, headquarters of IBM's Research division, is named for both Thomas J. Watson, Sr. and Thomas Watson, Jr., who led IBM as president and CEO, respectively, from 1915 when it was known as the Computing-Tabulating-Recording Company, to 1971.
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 ]