YCYeongseon Choeinyeongseonchoe.hashnode.dev00Handling streaming responses — real-time output2h ago · 14 min read · LLM App Foundations 101 (6/6) Example code: github.com/yeongseon-books/llm-app-foundations-101 The diagram below shows the basic event flow of a streamed response. One of the easiest ways to make aJoin discussion
YCYeongseon Choeinyeongseonchoe.hashnode.dev00Managing conversation state — building a multi-turn chatbot2h ago · 11 min read · LLM App Foundations 101 (5/6) Example code: github.com/yeongseon-books/llm-app-foundations-101 The diagram below summarizes how message history accumulates across turns. One of the first surprises Join discussion
YCYeongseon Choeinyeongseonchoe.hashnode.dev00Few-shot and chain-of-thought — steering better answers2h ago · 16 min read · LLM App Foundations 101 (4/6) Example code: github.com/yeongseon-books/llm-app-foundations-101 The diagram below shows how examples and stepwise reasoning steer one request. Post 03 established theJoin discussion
YCYeongseon Choeinyeongseonchoe.hashnode.dev00Prompt engineering basics — system, user, and assistant roles2h ago · 15 min read · LLM App Foundations 101 (3/6) Example code: github.com/yeongseon-books/llm-app-foundations-101 The diagram below shows the basic flow of role-based prompt construction. Prompt engineering is ofteJoin discussion
YCYeongseon Choeinyeongseonchoe.hashnode.dev00Understanding tokens — cost, limits, and context windows3h ago · 15 min read · LLM App Foundations 101 (2/6) Example code: github.com/yeongseon-books/llm-app-foundations-101 The diagram below summarizes how raw text becomes tokens and then turns into model budget. When peopleJoin discussion
