Oracle is making significant strides in the field of artificial intelligence with the recent update to its OCI Generative AI service. This managed service integrates large language models into various use cases and has now been enhanced to provide access to Cohere LLMs. These models support over 100 languages and will soon include the Llama 2 70 billion parameter models in the coming weeks. This improvement is part of Oracle’s broader commitment to accelerating the use of generative AI in enterprises.
In addition to the updates to its Generative AI service, Oracle has also launched OCI Generative AI Agents in beta. This new feature allows users to extract information from enterprise data sources using natural language, built on OCI OpenSearch. This functionality paves the way for more seamless interaction with complex data sources, providing a more intuitive and user-friendly experience.
Looking forward, Oracle has plans to incorporate prebuilt agent actions across its SaaS applications. This will include applications such as Oracle Fusion, Cloud Applications Suite, Oracle NetSuite, and Oracle Cerner electronic health record platform. By integrating these applications with GenAI, they will become more intelligent and capable, providing enhanced functionality and efficiency to their users.
The forthcoming release of OCI Data Science AI Quick Actions service is another exciting development. Expected to launch in beta next month, this service will give customers access to an array of open source LLMs from Meta and Mistral AI. This will provide further options and flexibility for businesses looking to leverage the power of AI in their operations.
One of the main objectives of Oracle’s OCI Generative AI Service is to reduce the expenses associated with continuously training large language models on organizational knowledge. By offering enterprises a more cost-effective approach, Oracle aims to make the use of AI more accessible and affordable.
Oracle’s generative AI innovations are built on its vast portfolio capabilities across applications, AI services, and machine learning infrastructure. This allows Oracle to offer a competitive price performance in key cloud database categories, facilitating the adoption and scaling of generative AI.
However, despite Oracle’s efforts to integrate generative AI into its basic offerings to optimize resources and lower costs, it still trails behind competitors such as AWS, Microsoft, and Google in terms of overall generative AI model and service offerings. This highlights the fiercely competitive landscape of the AI industry and underscores the importance of continued innovation and development in this rapidly evolving field.
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