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What are Generative AI Models?

Learn how generative AI models help businesses succeed.

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What is Deep Learning?

Discover how deep learning works, why it matters, and where it’s going next.

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An introduction to innersource

Organizations worldwide are incorporating open source methodologies into the way they build and ship their own software.

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What is workflow orchestration?

Workflow orchestration is the practice of coordinating multiple automated tasks across systems so they run efficiently and in the correct order. It provides visibility, reliability, and control to a complete, end‑to‑end process.

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What are multi-agent systems?

Multi-agent systems carry out complex, multistep tasks by coordinating the actions of two or more agents. Discover how they work and how to build and use them.

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What is AI agent orchestration?

AI agent orchestration is the process of coordinating multiple autonomous AI agents to work together toward shared goals. It provides a control layer for managing execution, context, and collaboration across agents, ensuring tasks are completed efficiently, securely, and at scale.

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What is AI orchestration?

AI orchestration coordinates how models, agents, tools, and data work together, making complex workflows easier to run, trace, and debug.

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What is Model Context Protocol (MCP)?

Model Context Protocol (MCP) connects AI models to tools, data, and services in a standardized way, enabling AI systems to take controlled actions.

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What are AI agents?

AI agents transform software development by automating workflows and enhancing security. Explore the different types of AI agents and get a glimpse into the future of AI in development and security.

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What is static application security testing (SAST)?

SAST enables developers to uncover security threats earlier in the development process, thereby safeguarding an application’s successful deployment.

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What is prompt engineering?

Prompt engineering is the practice of crafting effective instructions that guide AI models to produce accurate, useful results.

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What is Unsupervised Learning?

Unsupervised learning finds patterns in unlabeled data, making sense of complex datasets.

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