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IBM's Granite 4.0: AI Breakthrough for India's Languages

Summary

  • IBM's Granite 4.0 models are designed for India's diverse languages.
  • Hybrid architecture reduces memory needs and runs on cheaper GPUs.
  • Models are open-sourced and ISO 42001 certified for security.
IBM's Granite 4.0: AI Breakthrough for India's Languages

IBM has introduced its Granite 4.0 language models, engineered to tackle the significant challenge and opportunity presented by India's vast linguistic diversity. With over 1,500 languages spoken, creating AI systems that perform well across these variations is complex, particularly due to a scarcity of high-quality training data.

These innovative models feature a new hybrid Mamba-transformer architecture. This design substantially reduces memory requirements, enabling them to run efficiently on less expensive GPUs while maintaining strong performance. Notably, Granite 4.0 models are open-sourced under the Apache 2.0 license and are the first open models to obtain ISO 42001 certification, boasting cryptographic signatures for improved security and transparency.

The extensive training dataset, comprising approximately 100 billion tokens of Indian language data and 1.5 million post-training examples, significantly enhances the models' capabilities. Performance benchmarks indicate that Granite 4.0 rivals and even surpasses multilingual models like Llama and Gemma, with various sizes demonstrating competitive strengths in their respective categories.

Disclaimer: This story has been auto-aggregated and auto-summarised by a computer program. This story has not been edited or created by the Feedzop team.
Granite 4.0 is a suite of open-source AI language models developed by IBM, specifically designed to handle the linguistic diversity of India.
It uses a hybrid Mamba-transformer architecture and was trained on over 100 billion tokens of Indian language data, improving its performance across diverse languages.
The models are open-sourced under Apache 2.0 and have achieved ISO 42001 certification, featuring cryptographic signatures for security and transparency.

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