Oracle has announced the limited availability of Oracle Cloud Infrastructure (OCI) Generative AI Service. The new generative AI service will support large language models (LLMs) to help organizations automate end-to-end business processes, improve decision-making, and enhance customer experiences, while keeping their data secure and private.
OCI generative AI service includes the following models:
- Command: This model takes a user’s prompt and generates text. Available in two different sizes, Command is highly customizable for business use cases, including text generation, text summarization, RAG, and chat.
- Summarize: This model does abstractive summarization of the text and enables the user to configure the results with a variety of parameters to support unique use cases. For example, summarizing complex documents for legal teams, technical support documentation for customer service representatives, and long email chains for busy employees.
- Embed: This text representation model translates text into numerical vectors that models can understand. It provides industry-leading English and multilingual models (100+ languages) for a range of use cases, including semantic search, text classification, search engine for RAG and legacy search improvement.
Oracle and Cohere center our enterprise AI offering on the principles of data security, model customization, latency, and helping companies quickly, meaningfully, cost-efficiently, and responsibly deploy AI technology. Martin Kon, President & COO, Cohere.
In addition to the OCI Generative AI service news, Oracle AI has continued to add enhancements to existing services with multiple limited availability programs, including:
- Oracle Digital Assistant: Adds generative AI features to allow customers to integrate LLMs and other generative capabilities into their digital assistants. In addition, developers can use generative AI to build digital assistants more quickly and efficiently.
- OCI Language Healthcare NLP: Adds healthcare insights with natural language processing. This new feature of the OCI Language service helps better process language in the medical domain. New models will help recognize medical terms, relationships and entities in records such as clinical trials notes, patient progress notes, and electronic health records.
- OCI Language Document Translation Experience: Adds new document translation feature to support a wide range of formats—Word, PPT, HTML, JSON, and Excel—ensuring content remains intact and translated across diverse file types.
- OCI Vision: Adds Facial Detection, gaining the ability to recognize faces and facial features in images, and expanding the number of OCI Vision use cases.
- OCI Speech: Adds diarization, allowing the service to embed speaker information into transcribed sections of audio. Diarization makes OCI Speech a valuable tool for organizing, analyzing, and extracting meaningful information from spoken interactions.
- OCI Data Science: Adds Feature Store, a central repository used to manage features developed by data science teams. Feature Store provides a cohesive framework where features are meticulously documented, shared, stored, and served in a streamlined manner.
