The latest In the Loop episode breaks down the Model Context Protocol (MCP)—a new standard for connecting LLMs to tools, data, and real-world actions. Learn how MCP enables practical, production-ready AI.
Learn the data curation and human supervision techniques that we believe are crucial to DeepSeek’s success by examining technical reports from DeepSeek-R1, DeepSeek-V3, and its predecessors.
While data annotation for LLMs may look and feel somewhat different than the data annotation of the past, it’s still a crucial step of the machine learning process.
Different models are naturally going to excel at different tasks (just like humans). For users — especially those building products — having visibility into those tradeoffs is going to be a critical part of the decision-making process.