Oracle Announced the general availability of Oracle Cloud Infrastructure (OCI) Generative AI services and a suite of capabilities that make it easier for enterprises to take advantage of generative AIup to dateNew innovations in progress.
The OCI Generative AI service is a fully managed service that seamlessly integrates with Cohere and Meta Llama2Large Language Models（LLM) to address a variety of business use cases. The OCI Generative AI service now has multi-language capabilities supporting more than 100 languages, an improved GPU cluster management experience, and flexible fine-tuning options. Customers can use the OCI Generative AI service in Oracle Cloud and locally through the OCI Dedicated Region.
"Oracle's AI focus is on solving real business use cases to enable broad adoption in the enterprise. To do this, we are embedding AI into all layers of the technology stack by integrating generative AI into our applications and Fusion Database, and delivering new LLM and managed services, all supported by a fast and cost-effective AI infrastructure," said Steve Schmidt, CEO of Oracle Cloud Infrastructure.advancedGreg Pavlik, Vice President of AI, said: “Instead of providing a toolkit that needs to be assembled, we provide a powerful suite of pre-built AI services and capabilities that work together to help customers solve business problems smarter and faster.”
Simplify customization of generated AI models
To help customers solve business problems focusing on text generation, summarization, and semantic similarity tasks, Cohere and Meta Llama2up to dateModels will be available in a managed service that can be consumed through API calls. In addition, customers can easily and securely embed generative AI into their technology stack with strict data security and governance.
Customers can use their own data to further improve these models through Retrieval Augmented Generation (RAG) technology, which enables the model to understand its unique internal operations. The OCI Generative AI Agents service, currently in beta, combined with the RAG agent, combines the power of LLMs and enterprise search built on OCI OpenSearch to provide enhanced contextual results. The agent enables users to converse with a variety of enterprise data sources in natural language without the need for specialized skills. The information retrieved is real-time, and even for dynamic data stores, the results provide references to the original source data.
The initial beta supports OCI OpenSearch. Upcoming releases will support a wider range of data search and aggregation tools and provide access to Oracle Database23c with AI vector search capabilities and MySQL HeatWave with Vector Store. Oracle will also provide pre-built agent actions in its suite of SaaS applications, including industry applications such as Oracle Fusion Cloud Applications Suite, Oracle NetSuite, and Oracle Health.
"With today's news, Oracle is bringing generative AI to customers' workloads and data, rather than requiring customers to move their data to a separate vector database," said Ritu Jyoti, vice president of IDC's Worldwide Artificial Intelligence and Automation research practice. "With a common architecture that integrates generative AI into all parts of the Oracle ecosystem, from Autonomous Database to Fusion SaaS applications, Oracle is bringing generative AI to where the exabytes of customer data already reside, whether in cloud data centers or on-premises environments. This greatly simplifies the process for organizations to deploy generative AI into existing business operations."
Embedding Generative AI Across Oracle’s Entire Stack
Oracle’s leading AI infrastructure and comprehensive cloud application portfolio create a powerful combination for customer trust. By integrating generative AI into its cloud application portfolio including ERP, HCM, SCM, and CX, Oracle enables customers to leverage existing business processes toup to dateInnovation. In addition, Oracle is embedding generative AI capabilities into its database portfolio to enable customers to build their own AI-driven applications. With Autonomous Database Select AI, customers can accelerate application development or create new business solutions by combining private enterprise data with the productivity and creativity of generative AI.
To help customers build, train, deploy, and manage LLMs using open source libraries such as Hugging Face’s Transformers or PyTorch, Oracle is also expanding the capabilities of OCI Data Science. The new OCI Data Science AI Quick Actions feature, which will be available in beta next month, provides code-free access to a wide range of open source LLMs, including those from leading vendors such as Meta or Mistral AI.