As the AI landscape evolves, Oracle is providing developers with powerful tools to harness and amplify the capabilities of open source solutions. Some noteworthy demos are being showcased on Oracle.ai, illustrating how Oracle’s integration with Kubernetes, machine learning platforms, and generative AI can transform application development and deployment.
Serving LLMs using HuggingFace and Kubernetes on OCI addresses the increasing need for scalable, secure, and efficient deployment platforms in the era of large language models (LLMs). You’ll see how you can deploy fine-tuned LLM inference containers using Oracle Container Engine for Kubernetes (OKE) — an OCI-managed Kubernetes service that simplifies deployment and management, allowing enterprises to retain their models and datasets securely within their own cloud environments. With Kubernetes emerging as the preferred platform for its scalability, flexibility, and resilience, Oracle’s robust container engine empowers businesses to build sophisticated AI-driven applications.
Moving further into the machine learning realm, Machine Learning with Kubeflow presents a comprehensive guide on installing Kubeflow within a Kubernetes cluster. Kubeflow is an open source platform that orchestrates various stages of the machine learning lifecycle, including model development, training, serving, and automation. The demonstration covers how developers can set up a Jupyter notebook environment to facilitate GPU and high-performance computing workloads seamlessly. With OCI Kubernetes Engine’s reliability and Oracle’s support, you can focus on innovation rather than grappling with infrastructure complexities.
Develop an AI-powered PDF search tool takes a deep dive into the world of generative AI, guiding developers in creating interactive applications that provide natural language responses. By leveraging Oracle Cloud Infrastructure (OCI) alongside powerful frameworks like Streamlit and LangChain, this solution walks developers through setting up the OCI command-line interface and developing a fully-interactive LangChain application. This approach underlines Oracle’s integration with open source tools, and our commitment to enabling developers to create contextually aware reasoning applications powered by next-level AI technologies.
These demos integrate powerful open source technologies into a comprehensive ecosystem for developers. By embracing generative AI, LLMs, and machine learning operations on Kubernetes and other open source platforms, Oracle provides not only the tools needed for today’s challenges but also a vision for the future of application development. As the tech landscape continues to evolve, Oracle remains a pivotal player in bridging the gap between cutting-edge technology and practical solutions for developers worldwide.