Deepika Aman’s Post

"If your use case is narrow and you’ve customized a model’s base with the right methodology on top, that can rival a general-purpose model with a contextualized query." -Ruchir Puri, CHIEF SCIENTIST OF IBM #AI #Granite

IBM's Granite models come in different shapes, and critically, different sizes. They're trained on enterprise data - no garbage here! That means we can achieve more with less. And we know what's in them. How do you balance the need to stay competitive using #GenAI, against the environmental impact of its adoption? What will your business's carbon report say this year? Is #GenAI derailing your NetZero efforts? How do you keep tabs on the #GenAI bill? Governance is critical to all these issues. And IBM knows governance. Try using an enterprise model of an appropriate size. Use only what you need. Why use (and pay for) more? Deploy proper AI governance to test performance. When it comes to LLMs, size does matter. And bigger isn't necessarily better. Try Granite.

Only a fraction of all enterprise data has been captured by general-purpose large language models. But when you tap into this data to fine-tune a smaller model for specific tasks, you’re able to rival the performance of larger models at a fraction of the cost, including the related energy savings.

Small models are set to make a huge impact. With IBM Granite foundation models and Instruct Lab, you can build smaller, more efficient models that leverage open-source technology and enterprise data. The result? High-quality #AI solutions at a fraction of the cost and energy. Learn about our approach to open and customizable AI in this branded article via WIRED: https://ibm.co/4fEexMm

I believe open source and specialized AI models are the future of AI. IBM’s efforts in open-source AI show how collaboration and transparency can drive meaningful innovation. By focusing on specific use cases, we can create more efficient and impactful solutions. #OpenSource #AI #Innovation #FutureOfAI #TechLeadership

Excellent Insight.

Exciting news in the AI space! 👏🏼 At the annual TechXchange event, IBM announced the most advanced family of AI models to date, Granite 3.0. We are seeing small models can make a big impact. Combined with enterprise data, they offer task-specific performance that rival large models at a fraction of the cost. This third generation of Granite models will empower developers to build #AI applications with a new level of trust and scalability for various enterprise use cases. Our commitment to open-source AI continues with Granite 3.0. These open models are key to fostering innovation, enhancing reliability, and creating a safe future for AI, for everyone. You can learn more about Granite 3.0 in this Reuters article: https://lnkd.in/eCSKRmAa

📢𝐈𝐁𝐌 𝐫𝐞𝐥𝐞𝐚𝐬𝐞𝐬 𝐧𝐞𝐰 𝐀𝐈 𝐦𝐨𝐝𝐞𝐥𝐬 𝐟𝐨𝐫 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬𝐞𝐬 𝐚𝐬 𝐠𝐞𝐧𝐀𝐈 𝐜𝐨𝐦𝐩𝐞𝐭𝐢𝐭𝐢𝐨𝐧 𝐡𝐞𝐚𝐭𝐬 𝐮𝐩🚀🚀🚀 💡IBM just unveiled its latest artificial intelligence models, "Granite 3.0," designed specifically for businesses. These models, part of the open-source Granite family, aim to meet the growing demand for generative AI technology among enterprises. ⚡Unlike competitors like Microsoft, IBM offers these models for free, with the option to use the paid Watsonx tool for model customization and deployment within data centers. ✨Excitingly, select variants of the new Granite models are now ready for commercial use on the Watsonx platform, with additional models accessible through Nvidia's suite of AI tools. #IBM #AI #Granite3.0 #Watsonx #Nvidia

ITOps always need to have end-to-end visibility across their services and networks. But, with data analysis being loosely coordinated and siloed, a reactive approach makes ITOps more awful than powerful. AIOps or artificial intelligence IT operations are thus more mainstream than a choice today. Generative AI presents significant enterprise opportunities to reshape ITOps with workflow automation, productivity gains, removal of mundane tasks, and cost reduction. Learn more: https://lnkd.in/gcFFs366 #itops #generativeai #employeesupport #itsupport