Topic
Prompt Engineering
Learn Prompt Engineering as a connected topic across chapters, concepts, simulations, and interview reasoning.
10 Concepts5 Articles1h 37m
Overview
Learn Prompt Engineering as a connected topic across chapters, concepts, simulations, and interview reasoning.
How this topic helps
Ai
Llm
Generative Ai
Langchain
Learning Path in this Topic
Series that contain articles from Prompt Engineering. Select a path to filter the article list.
Articles
5 matched articles
Article 1Prompt Engineering Guide: From Zero-Shot to Chain-of-ThoughtTLDR: Prompt Engineering is the art of writing instructions that guide an LLM toward the answer you want. Zero-Shot, Few-Shot, and Chain-of-Thought are systematic techniques — not guesswork — that can13 min
Article 2Chain of Thought Prompting: Teaching LLMs to Think Step by StepTLDR: Chain of Thought (CoT) prompting tells a language model to reason out loud before answering. By generating intermediate steps, the model steers itself toward correct conclusions — turning guessw27 min
Article 3LLM Hallucinations: Causes, Detection, and Mitigation StrategiesTLDR: LLMs hallucinate because they are trained to predict the next plausible token — not the next true token. Understanding the three hallucination types (factual, faithfulness, open-domain) plus the30 minArticle 4Mastering Prompt Templates: System, User, and Assistant Roles with LangChainTLDR: A production prompt is not a string — it is a structured message list with system, user, and optional assistant roles. LangChain's ChatPromptTemplate turns this structure into a reusable, testab14 min
Article 5Mastering Prompt Templates: System, User, and Assistant Roles with LangChainTLDR: Prompt templates are the contract between your application and the LLM. Role-based messages (System / User / Assistant) provide structure. LangChain's ChatPromptTemplate and MessagesPlaceholder 13 min