Everything for ML Engineers
ML engineers sit closer to production than research scientists — model serving, monitoring, and drift discussions dominate their English. This hub is scoped to that operational side: production ML vocabulary, precise reporting grammar, and interview and blog resources on serving and MLOps.
Vocabulary sets
Grammar & writing
Interview prep
Related deep-dive hub
Blog articles (3)
- Claude API English: Tool Use and Extended Thinking Vocabulary
Master the English vocabulary of the Anthropic Claude API — tool use, extended thinking, streaming, and prompt engineering terms explained for IT professionals.
- LangChain English: LCEL and RAG Pipeline Vocabulary
Learn the English vocabulary used in LangChain development — LCEL chains, RAG pipelines, retrievers, memory, and agent vocabulary explained in professional context.
- OpenAI Assistants API English: Threads, Runs, and Vector Stores
Learn the English vocabulary of the OpenAI Assistants API — threads, runs, vector stores, tool calls, and streaming responses explained for IT professionals.
Other role hubs
Explore more
Browse every exercise category, or search the full site.