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All digests tagged Model Context Protocol (MCP)
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Learn how to bring context to AI agents using the Model Context Protocol (MCP). This talk details how MCPs, Skills, and SubAgents create robust, secure, and highly productive AI workflows for enterprise development.
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Learn how NVIDIA Data Designer builds synthetic data pipelines to teach AI agents complex search and reasoning skills. The framework uses DAGs, seed data, and tool calls to create scalable, diverse training records.
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The Agent Client Protocol (ACP) proposes a universal standard for client-to-harness communication in AI. By standardizing the interface using JSON RPC, ACP allows multiple client applications to drive the same agent, making the entire agentic stack modular and interoperable.
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Learn six essential AI concepts—from LLMs to RAG and Agents—using simple human analogies. Understand how modern AI systems work by connecting the 'brain' to its tools.
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As AI agents become the primary consumers of APIs, traditional REST design must evolve. Learn how to use OpenAPI, implement idempotency, and structure your endpoints to be reliable, understandable, and efficient for machine consumption.
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Deep dive into four core agent protocols: MCP for tool access, A2A for inter-agent communication, AG-UI for state streaming, and A2UI for generative UIs. Learn how to build interoperable AI systems.
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The talk demystifies AI agents by building one from scratch, demonstrating how LLMs, tools, and memory work together in a continuous loop to achieve goals.
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