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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.
IBM Granite is a series of decoder-only AI foundation models created by IBM. [3] It was announced on September 7, 2023, [ 4 ] [ 5 ] and an initial paper was published 4 days later. [ 6 ] Initially intended for use in the IBM's cloud-based data and generative AI platform Watsonx along with other models, [ 7 ] IBM opened the source code of some ...
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.
Project Debater was featured in a television series called “That’s Debatable” presented by Intelligence Squared U.S. Debates and Bloomberg Media. [16] For each episode of “That’s Debatable,” Project Debater provided insight into three distinct debate topics on the redistribution of wealth, modern monetary theory, and a US-China space race. [17]
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.
In May 2023, IBM revealed Watsonx, a Generative AI toolkit that is powered by IBM's own Granite models with option to use other publicly available LLMs. Watsonx has multiple services for training and fine tuning models based on confidential data. [161] A year later, IBM open-sourced Granite code models and put them on Hugging Face for public ...
Foundation models are built by optimizing a training objective(s), which is a mathematical function that determines how model parameters are updated based on model predictions on training data. [34] Language models are often trained with a next-tokens prediction objective, which refers to the extent at which the model is able to predict the ...