IBM Unveils Revolutionary Granite Foundation Model: A Game-Changer in Tech Innovation

IBM is revolutionizing AI for business with their watsonx platform, introducing the Granite foundation models and other capabilities to empower organizations with reliable and customizable tools.

IBM's Granite models are more efficient than larger ones, fitting onto a single NVIDIA V100 Tesla 32 GB GPU.
IBM has implemented measures to detect and filter out hateful or defamatory content.
IBM is committed to pushing the boundaries of AI technology and providing businesses with reliable and customizable tools.

The field of artificial intelligence (AI) for business is rapidly evolving, and the potential for improving productivity and creativity is immense. IBM is at the forefront of this revolution with their data and AI platform for business, IBM watsonx. They have recently introduced a new family of foundation models called “Granite,” which leverage generative AI for both language and code.

The Granite models, developed by IBM Research, utilize a “Decoder” architecture that enables large language models to predict the next word in a sequence. These models are more efficient than larger ones, fitting onto a single nVidia V100 Tesla 32 GB GPU. They excel in specialized business-domain tasks such as summarization, question-answering, and classification, making them applicable across various industries.

To ensure that the Granite models are tailored for business use, IBM trained them on a diverse range of datasets, totaling 7 TB before pre-processing. These datasets include internet data, academic research, code samples, legal opinions, and financial documents. By exposing the models to specialized language and jargon from these industries, IBM ensures that they make informed decisions grounded in relevant industry knowledge.

Trust is a crucial aspect of AI in business, and IBM has prioritized it in the development of the Granite models. Every dataset used in training undergoes a governance, risk, and compliance (GRC) review process to establish an auditable link between the trained model and the specific dataset version. IBM has also implemented measures to detect and filter out hateful or defamatory content using their own “HAP detector.” Additionally, they employ various quality measures to improve the output and protect against offensive material.

IBM’s vision of AI for business is centered around empowerment. They believe that enterprises should have the ability to personalize their models according to their own values while adhering to regulations and standards. With watsonx, organizations retain ownership of their data and have control over the models they build.

The Granite foundation models are just the beginning of IBM’s AI products. They have plans to release more models in different languages and are also adding open source models to watsonx. Additionally, IBM is launching new capabilities in the watsonx.ai studio, such as prompt tuning and a Synthetic Data Generator, which will assist users in creating artificial tabular datasets.

The introduction of the Granite foundation models and other capabilities into watsonx opens up exciting possibilities for AI in business. IBM is committed to pushing the boundaries of AI technology and providing businesses with reliable and customizable tools. This is just the start of what promises to be a transformative journey.

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Background Information

About IBM: IBM, or International Business Machines Corporation, is a globally American multinational technology company with a storied history dating back to its founding in 1911. Over the decades, IBM has consistently been at the forefront of innovation in the field of information technology. The company is known for its pioneering work in computer hardware, software, and services, with breakthroughs like the IBM System/360 and the invention of the relational database.

About nVidia: NVIDIA has firmly established itself as a leader in the realm of client computing, continuously pushing the boundaries of innovation in graphics and AI technologies. With a deep commitment to enhancing user experiences, NVIDIA's client computing business focuses on delivering solutions that power everything from gaming and creative workloads to enterprise applications. for its GeForce graphics cards, the company has redefined high-performance gaming, setting industry standards for realistic visuals, fluid frame rates, and immersive experiences. Complementing its gaming expertise, NVIDIA's Quadro and NVIDIA RTX graphics cards cater to professionals in design, content creation, and scientific fields, enabling real-time ray tracing and AI-driven workflows that elevate productivity and creativity to unprecedented heights. By seamlessly integrating graphics, AI, and software, NVIDIA continues to shape the landscape of client computing, fostering innovation and immersive interactions in a rapidly evolving digital world.

Technology Explained

GPU: GPU stands for Graphics Processing Unit and is a specialized type of processor designed to handle graphics-intensive tasks. It is used in the computer industry to render images, videos, and 3D graphics. GPUs are used in gaming consoles, PCs, and mobile devices to provide a smooth and immersive gaming experience. They are also used in the medical field to create 3D models of organs and tissues, and in the automotive industry to create virtual prototypes of cars. GPUs are also used in the field of artificial intelligence to process large amounts of data and create complex models. GPUs are becoming increasingly important in the computer industry as they are able to process large amounts of data quickly and efficiently.