Technology

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: ...

In the rapidly evolving landscape of artificial intelligence, large language models (LLMs) have become powerful tools for a wide range of applications. However, these models come with inherent limitations that need to be addressed for optimal performance. Two methods stand out for enhancing LLM capabilities: Retrieval Augmented Generation (RAG) and Fine-Tuning. But which approach is right for your specific use case? Let’s break down the differences, strengths, and ideal applications for each. ...

Introduction This discussion took place on July 26, 2023, at Cemex Auditorium, Stanford University, and was hosted by the Stanford Graduate School of Business. This talk covers: Trends in AI Technologies and Tools Supervised Learning Generative AI The Adoption of AI Opportunities in AI Process for Building Startups AI Risks and Social Impact Youtube Video TL;DR The following content is generated by AI. ...