Overview
This short e-book examines the compelling combination of open source and artificial intelligence (AI), showcasing the benefits of effective open source-licensed models and tools for developers.
Open source AI for developers introduces and covers key features of Red Hat OpenShift AI, including Jupyter Notebooks, PyTorch, and enhanced monitoring and observability tools, along with MLOps and continuous integration/continuous deployment (CI/CD) workflows. You will learn how to build innovative AI-based applications using generative AI and predictive AI, then explore a few examples of AI models in action.
Download Open source AI for developers and discover the power of open source and AI in Red Hat OpenShift AI.
Contents
- Chapter 1: Open source and AI: A transformative combination
- Chapter 2: Plan your development journey
- Chapter 3: Build innovative AI-based applications
- Chapter 4: Adopt advanced tools and technologies for AI
- Chapter 5: Ready, set, develop: Start building AI-enabled applications
Excerpt
Open source and AI: A transformative combination
Artificial intelligence (AI) and machine learning operations (MLOps) are transforming applications and development processes. Innovative solutions based on AI models offer new possibilities for creating content, enhancing decision-making processes, and personalizing user experiences. Modern MLOps workflows streamline integration, deployment, and management of AI models into production environments, ensuring their reliability and performance. Together, AI and MLOps help developers become more agile and respond rapidly to evolving business needs with dynamic applications, efficient workflows, and shorter development cycles.
Open source AI tools offer significant benefits for development teams in terms of flexibility and customization. These tools help developers modify and adapt intelligent applications to meet business needs with tailored solutions. By encouraging collaboration within a broad community of users and contributors, open source projects support continuous improvements and new feature development in key AI technologies. This adaptability lets organizations customize AI tools to meet their requirements, making them an ideal choice for projects that demand specialized functionality.