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Oracle’s New AI Platform Lets You Build Chatbots That Tell Medieval Tales
- The article introduces beginners to Oracle Cloud Infrastructure (OCI) Generative AI service, covering creating an account, setting up the environment, and running the first AI task in Python.
- OCI offers AI services like GPU infrastructure and GenAI-powered apps for tasks like text generation, summarization, and embeddings.
- Generative AI in OCI has Large Language Models (LLMs) for various tasks, and users can fine-tune models with custom data sets and deploy them on dedicated AI clusters.
- Models like Meta Llama and Cohere's Command R and R+ are accessible through OCI SDK in Python, Java, and Node.js.
- Initial steps include creating an account, navigating the OCI Console, generating an API key, and creating a configuration file for authentication.
- Setting up the environment involves installing necessary libraries in a virtual environment using tools like venv or conda.
- Running the first AI task involves creating a Python script, setting up authentication with OCI Generative AI client, and interacting with model endpoints.
- Examples are provided for using OCI models like Meta Llama and Cohere's Command R by composing chat requests and displaying the generated responses.
- The article concludes by highlighting the steps for getting started with OCI Generative AI and encourages users to refer to the documentation for more information.
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