IBM has launched Granite 3.2, an replace to its Granite giant language mannequin (LLM) sequence, designed for enterprise use with smaller, extra environment friendly AI options.
”The following period of AI is about effectivity, integration, and real-world influence – the place enterprises can obtain highly effective outcomes with out extreme spending on compute,” mentioned Sriram Raghavan, vice chairman at IBM Analysis (AI).
“IBM’s newest Granite developments concentrate on open options and show one other step ahead in making AI extra accessible, cost-effective, and invaluable for contemporary enterprises,” he added.
The replace introduces a brand new imaginative and prescient language mannequin (VLM) for doc understanding. It performs on par or above bigger fashions like Llama 3.2 11B and Pixtral 12B on benchmarks like DocVQA and OCRBench.
It was educated with IBM’s open-source Docling toolkit, processing 85 million PDFs and creating 26 million artificial question-answer pairs to enhance document-heavy workflows.
Granite 3.2 additionally consists of fashions with chain-of-thought reasoning, enhancing duties like following directions and fixing math issues (e.g., AIME2024 and MATH500). This characteristic might be turned on or off for higher effectivity. The 8B mannequin makes use of superior methods to match or outperform bigger fashions.
The replace additionally consists of Granite Guardian security fashions, that are 30% smaller however nonetheless preserve sturdy efficiency. These fashions now characteristic a instrument for verbalising confidence and enhancing security monitoring with extra detailed threat assessments.
Moreover, IBM has up to date its TinyTimeMixers (TTM) fashions, which now have fewer than 10 million parameters. These are designed for long-term forecasting and are helpful in monetary evaluation, provide chain forecasting, and retail stock planning.
Granite 3.2 fashions can be found on platforms like Hugging Face and IBM Watsonx.ai underneath the Apache 2.0 license.
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