Tag: Implementation
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Context Engineering vs. Prompt Engineering: Smarter AI with RAG & Agents – 2025-08-18
Channel: IBM Technology Date Published: 2025-08-18 Summary The video differentiates between prompt engineering and context engineering in the realm of large language models (LLMs) and agentic AI. Prompt engineering involves crafting the input text (prompts) to steer the LLM’s behavior, while context engineering is a broader discipline that encompasses programmatically assembling everything the LLM sees…
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MCP in Action: Revolutionizing AI Agent Integration – 2025-07-29
Channel: IBM Technology Date Published: 2025-07-29 Summary The Model Context Protocol (MCP) is presented as a transformative technology that standardizes the way AI models interact with various tools and APIs, likening it to a universal interface (USB-C) for AI agents. It eliminates the need for custom integrations, simplifying the connection of AI models to repositories,…
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🦸🏻#14: What Is MCP, and Why Is Everyone – Suddenly!– Talking About It? – 2025-03-17
Author: Ksenia Se Date: 2025-03-17 Summary The article introduces the Model Context Protocol (MCP), an open standard developed by Anthropic to bridge AI systems with external tools and data sources. MCP emerged as a solution to the longstanding challenge of integrating language models with real-world systems in scalable, flexible ways. Although MCP was initially announced…
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The State Of AI Agents, 2024
Author: Rowan Curran Date: 2024-05-15 Summary The report outlines the current state and future trajectory of AI agents, characterizing them as an emerging but rapidly evolving enterprise technology. Early implementations showcase impressive capabilities in agentic workflows, dynamic tool use, and autonomous decision-making, which are being tested or piloted in forward-looking businesses across industries. However, AI…