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IBM's new enterprise AI models are more powerful than anything from OpenAI or Google

Dec 20, 2024 - zdnet.com
IBM has released Granite 3.1, the latest generation of its open-source Large Language Models (LLMs), featuring a 128K token context window, enabling the processing of larger text amounts for comprehensive analysis and generation tasks. The Granite 3.1 family includes dense models and Mixture of Experts (MoE) variants, optimized for business applications such as code generation, translation, and bug fixing. These models are trained on trillions of data tokens and are designed for low-latency deployment in on-device applications. IBM claims its Granite 8B Instruct model outperforms competitors like Google Gemma 2 and Meta Llama 3.1 on HuggingFace's OpenLLM Leaderboard benchmarks.

The new release also introduces image-in/text-out functionality and improved foreign language capabilities, supporting a dozen languages alongside English. Licensed under the Apache 2 open-source license, IBM provides transparency by disclosing training datasets and offering comprehensive documentation. Granite 3.1 models are available on platforms like IBM's Watsonx, Google Vertex AI, and Hugging Face, aiming to accelerate AI adoption in enterprises. By combining these models with proprietary data, businesses can achieve task-specific performance at a lower cost, positioning Granite 3.1 as a powerful and trustworthy AI tool for enterprise innovation.

Key takeaways:

  • IBM's Granite 3.1 models feature a 128K token context window, significantly enhancing their ability to process and understand large amounts of text for comprehensive analysis and generation tasks.
  • The Granite 8B Instruct model reportedly outperforms competitors like Google Gemma 2 and Meta Llama 3.1 on HuggingFace's OpenLLM Leaderboard benchmarks.
  • Granite 3.1 introduces image-in/text-out functionality and improved foreign language capabilities, supporting a dozen languages, making it suitable for international business applications.
  • IBM's Granite 3.1 models are available on various platforms, including IBM's Watsonx, Google Vertex AI, and Hugging Face, and are designed to accelerate AI adoption in enterprise settings.
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