As part of its efforts to revolutionize data-driven decision making for enterprises, Oracle has introduced the OCI Generative AI service. This offering, integrated within the Oracle Cloud Infrastructure (OCI), comes with several new enhancements aimed at facilitating the adoption of cutting-edge generative AI technologies. OCI Generative AI offers a comprehensive solution, providing seamless integration of Large Language Models (LLMs) from Cohere and Meta Llama 2. This service is designed to meet a wide range of business requirements efficiently.
With OCI Generative AI accessible via API, enterprises can effortlessly leverage its capabilities across various use cases such as writing assistance, summarization, analysis, and chat functionalities. Now, the service boasts multilingual capabilities spanning over 100 languages, an improved GPU cluster management interface, and adaptable fine-tuning features. Clients have the flexibility to deploy OCI Generative AI on both Oracle Cloud and on-premises via OCI Dedicated Region.
Oracle’s strategic focus lies in developing AI features that directly address practical business challenges, aiming to democratize AI adoption across enterprises. To achieve this goal, the company is deeply integrating generative AI across its product ecosystem, spanning applications, converged databases, and offering a range of new LLMs and managed services. This comprehensive approach is based on a robust and cost-effective AI infrastructure.
Unlike traditional toolkits that necessitate complex assembly, Oracle’s approach centers on delivering a cohesive suite of pre-built generative AI services and features. By providing ready-to-use solutions, Oracle empowers customers to tackle business problems more efficiently and intelligently.
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Customization of Generative AI
Oracle has introduced the latest models from Cohere and Meta Llama 2, enabling customers to tackle text generation, summarization, and semantic similarity tasks through a managed service accessible via API calls. This service allows for easy and secure integration of generative AI into customers’ technology stacks, ensuring tight data security and governance.
Through Retrieval Augmented Generation (RAG) techniques, customers can refine these models using their own data, enhancing their understanding of unique internal operations. The beta version of the OCI Generative AI Agents service integrates expansive language models (LLMs) with enterprise search functionalities utilizing OCI OpenSearch. This amalgamation delivers contextualized outcomes enhanced with pertinent enterprise data. This allows users to interact with various enterprise data sources using natural language, without requiring specialized skills. The retrieved information remains current, even with dynamic data stores, and includes references to the original source data.
Initially, the beta release supports OCI OpenSearch, with upcoming releases expected to extend support to a broader range of data search and aggregation tools. In forthcoming updates, users can expect to gain access to Oracle Database 23c, featuring AI Vector Search, alongside MySQL HeatWave, which includes Vector Store functionality. Oracle plans to offer prebuilt agent-actions across its suite of SaaS applications, including Oracle Fusion Cloud Applications Suite, Oracle NetSuite, and industry-specific applications like Oracle Health.
Oracle’s approach brings generative AI capabilities directly to customer workloads and data, eliminating the need to transfer data to a separate vector database. With a unified architecture for generative AI integrated across the Oracle ecosystem, from Autonomous Database to Fusion SaaS applications, Oracle ensures generative AI is accessible where vast amounts of customer data already reside, whether in cloud data centers or on-premise environments. This streamlines the deployment process for organizations, aligning generative AI with existing business operations.
Integrating Generative AI into Oracle Stack
Oracle’s extensive AI infrastructure and diverse range of cloud applications form a robust platform that fosters customer confidence. Through the incorporation of generative AI across its suite of cloud applications — spanning ERP, HCM, SCM, and CX — Oracle empowers customers to leverage cutting-edge innovations within their established business workflows.
Oracle is also integrating generative AI functionalities into its database portfolio, empowering customers to develop their own AI-driven applications. With Autonomous Database Select AI, customers can expedite application development or devise novel business solutions by merging their proprietary enterprise data with the efficiency and ingenuity of generative AI.
In facilitating customers’ endeavors to build, train, deploy, and oversee LLMs, Oracle is enhancing the capabilities of OCI Data Science. The introduction of the OCI Data Science AI Quick Actions feature is poised to offer no-code accessibility to a diverse array of open-source LLMs, including those from prominent providers such as Meta or Mistral AI.
