Artificial Intelligence

What is MCP? The Model Context Protocol (MCP) lets you build servers that expose data and functionality to LLM applications in a secure, standardized way. Think of it like a web API, but specifically designed for LLM interactions. MCP servers can: Expose data through Resources (think of these sort of like GET endpoints; they are used to load information into the LLM’s context) Provide functionality through Tools (sort of like POST endpoints; they are used to execute code or otherwise produce a side effect) Define interaction patterns through Prompts (reusable templates for LLM interactions) And more! Why MCP? MCP helps you build agents and complex workflows on top of LLMs. LLMs frequently need to integrate with data and tools, and MCP provides: ...

Recently, OpenAI has introduced a five-level framework, illustrating the incremental advancements toward achieving AGI. Each level signifies a critical step in the evolution of AI capabilities, reflecting the ongoing commitment to developing systems that can learn, reason, and operate with increasing autonomy and expertise. Level 1: Conversational AI At this foundational stage, AI systems are proficient in understanding and generating natural language, facilitating coherent and contextually appropriate conversations with users. These models can answer questions, provide explanations, and engage in dialogue on a wide array of topics. Notable examples include OpenAI’s GPT-4 and Claude 3.5, which have demonstrated significant proficiency in language comprehension and generation. ...