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IBM CEO commends genuine open source for enterprise generation AI, new initiatives unveiled at Think 2024

IBM CEO commends genuine open source for enterprise generation AI, new initiatives unveiled at Think 2024
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IBM is enhancing its generative AI efforts with new technologies and partnerships announced at the Think 2024 conference. IBM has a long history in AI and introduced the Watsonx genAI product platform at Think 2023. This platform has become the foundation for IBM’s next-gen AI efforts, offering enterprise-grade models, governance, and tools. At Think 2024, IBM will release several Granite models as open source code, ranging from 3 to 34 billion parameters. Additionally, Mistral AI models, including Large Mistral, will be added to the platform. IBM aims to provide support for construction assistants with new Watsonx assistants.

During a roundtable, IBM CEO Arvind Krishna emphasized the significant opportunity AI presents, comparing its impact to that of the steam engine or the Internet. IBM’s Granite models, first introduced in September 2023, have been expanded, including a 20 billion-parameter codebase model for IBM’s system. IBM will make its most advanced Granite models available under the open source Apache license, distinguishing itself from vendors with less truly open models.

IBM is also expanding its WatsonX assistants to enhance enterprise AI, introducing three new attendees at Think 2024: Watsonx Code Assistant for Java, Watsonx assistant for Z, and Watsonx Orchestrate. These assistants provide a packaged approach to implementing AI in organizations.

The enterprise deployment pattern of Recovery Augmented Generation (RAG) is crucial for AI chatbots with real business insights. IBM recognizes the importance of vector databases and InstructLab in modern enterprise AI, with a focus on continuous model improvement. IBM remains optimistic about generational AI’s prospects and acknowledges potential societal and employment impacts. Krishna believes that increased productivity will result in increased employment and overall productivity, essential for improving quality of life and GDP.

In conclusion, IBM’s efforts in generative AI focus on open source models, expanding AI assistants, and embracing technologies like RAG and InstructLab for continuous improvement. The company remains positive about the impact of AI on society and employment, emphasizing the need for increased productivity and technological capabilities. Join the AI Impact Tour on June 5 in New York to explore methods for auditing AI models for bias, performance, and ethical compliance across various organizations.

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https://venturebeat.com/ai/ibm-ceo-praises-real-open-source-for-enterprise-gen-ai-as-new-efforts-emerge-at-think-2024/

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