Sam Partee

MCP is the protocol layer for the new consumer of software. But protocols are necessary, not sufficient. The next generation of agents won't be soley defined by the protocol they speak — but also the infrastructure that powers it. In this keynote, Sam Partee (CTO and Co-Founder of Arcade.dev) walks...

For fifty years, software has been built around one consumer: the human user. Every API pattern, every UX principle, every interaction model has assumed a person on the other end. In the last eighteen months, that assumption broke. The consumer of software is increasingly not a person — it's a...

Before MCP, Arcade was building tools for LLM agents. We've shipped over 1,000 tools—first as native Arcade tools with our own protocol and eventually adopting MCP. The main lesson: the hard part isn't writing the code, it's finding the right abstraction. Most MCP tools today are thin wrappers...

Large language models (LLMs), such as GPT-4, use the power of vector embeddings and databases to address challenges posed by evolving data. These embeddings, when combined with a vector database or search algorithm, offer a way for LLMs to gain access to an up-to-date and ever-expanding knowledge base.

In this presentation, we will delve into the world of Retrieval Augmented Generation (RAG) and its significance for Large Language Models (LLMs) like OpenAI's GPT4. With the rapid evolution of data, LLMs face the challenge of staying up-to-date and contextually relevant.