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
At ReqTech AG we fully support IBM's approach with Granite to build smaller, energy-efficient foundation models that deliver high-quality AI solutions. Our experience confirms that smaller, focused models often outperform larger ones in requirements management—faster, more cost-efficient, and more accurate. "ReqTech: Where Requirements Meet Technology to Drive Innovation." If your team needs fast, tailored AI solutions to simplify complexity in RM, reach out to us—we’d love to help! #AI #RequirementsManagement #Innovation #ReqTech
👋 Hello IBM, I completely agree that small models can make a huge impact in the world of AI. It's great to see that IBM is leveraging open-source technology and enterprise data to build high-quality AI solutions at a fraction of the cost and energy. This approach not only benefits businesses but also helps to reduce the carbon footprint of AI. I'm excited to see how IBM's approach to open and customizable AI will continue to drive innovation in the industry. ♻️🚀 #AI #sustainability #cloudspacesolutions
IBM's focus on smaller, efficient models with Granite Foundation and Instruct Line demonstrates a thoughtful approach to scalable and sustainable AI solutions. Empowering enterprises with high-quality, cost-effective, and energy-efficient AI is a game changer!
IBM's approach to open and customizable AI sounds like a game-changer. Looking forward to reading more about it in the WIRED article!
Smart move with IBM Granite updates to include the smaller #LLM. There are huge cost differences in the various models and costs will come into play for every #business. 👍
Exciting developments, IBM! The focus on smaller, efficient models is a game-changer for AI solutions. I’m eager to see how this approach will enhance accessibility and sustainability in AI. What are some of the key challenges you anticipate in this transition?
That's what I prefer to work with, a smaller, more precise efficient model; utilizing Open Source technology, and leveraging Enterprise data for high quality AI solutions that are cost-effective.
IBM's focus on AI innovation continues to impress! The integration of AI into real-world solutions is a game-changer for businesses aiming to scale efficiently. Curious to hear how these advancements are addressing key challenges like transparency and trust in AI systems. What industries do you think will benefit the most from these developments?
This is such an exciting development! Smaller, more efficient models have the potential to revolutionize the way we build and scale AI solutions.