MCP, or Model Context Protocol, is emerging as a prominent standard for engineering agentic AI tools and functionalities. Understanding how to leverage the capabilities of this standard to develop AI-centric products will equip engineering teams for rapid and efficient product development.
Overview Model Context Protocol (MCP): MCP is an open standard introduced by Anthropic in late 2024 for connecting AI models with external tools and data sources . It aims to replace the many fragmented, one-off integrations in AI applications with a single unified protocol . In Anthropic’s words, MCP provides a
Marvin 3.0 is a Python framework for building agentic AI workflows, where tasks are delegated to Large Language Model (LLM) agents . A core idea in Marvin is that each unit of work (a Task) should have a clear objective described by instructions, and one or more Agents specialized to
Introduction Large Language Models (LLMs) have opened new frontiers in AI applications, but leveraging them effectively requires more than just prompting. Developers need ways to orchestrate context-aware reasoning and memory – feeding the right data to the model at the right time, and enabling multi-step decision making with tools or knowledge
Electroencephalography (EEG) is a fascinating window into the brain’s activity. By placing electrodes on the scalp, researchers and clinicians can capture the electrical signals produced by neurons firing in sync. These brainwave recordings have applications ranging from medical diagnosis to cutting-edge brain-computer interfaces. In this article, we’ll introduce
The key difference between Artificial General Intelligence (AGI) and Artificial Intelligence (AI) lies in the scope and flexibility of their capabilities:
Agentic AI Engineering refers to the design and development of AI systems capable of autonomously making decisions, initiating actions, and achieving goals in dynamic, real-world environments. These systems exhibit agency, meaning they operate beyond simply responding to user prompts or predefined tasks. They leverage long-term memory, reasoning, and goal-setting capabilities