Today, at our annual THINK conference, IBM announced several new updates to the watsonx platform one year after its introduction, as well as upcoming data and automation capabilities designed to make artificial intelligence (AI) more open, cost effective, and flexible for businesses. During his opening keynote, CEO Arvind Krishna shared the company’s plans to invest in, build and contribute to the open-source AI community as a core part of IBM’s strategy.
“We firmly believe in bringing open innovation to AI. We want to use the power of open source to do with AI what was successfully done with Linux and OpenShift,” said Krishna. “Open means choice. Open means more eyes on the code, more minds on the problems, and more hands on the solutions. For any technology to gain velocity and become ubiquitous, you’ve got to balance three things: competition, innovation, and safety. Open source is a great way to achieve all three.”
The key aspects of the announcement inludes:
• Releases a family of IBM Granite models into open source, including its most capable and efficient Code LLMs that can out-perform larger code models on many industry benchmarks
• Jointly with Red Hat, launches InstructLab, a first-of-its-kind model alignment technique, to bring open-source community contributions directly into LLMs
• Unveils new vision and momentum for new data and automation capabilities; Accelerates generative AI infusion into IBM assistants, automation, infrastructure, resource management products and consulting services
• Strengthens collaborations with AWS, Adobe, Meta, Microsoft, Mistral AI, Palo Alto Networks, SAP, Salesforce, and SDAIA to expand capabilities and offer model choice, flexibility and governance through watsonx
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