Prompt Engineering
Everything on CoreConcept tagged with Prompt Engineering. Explore related tags below.
Related tags
Articles
Zero-Shot vs Few-Shot Learning Explained is for builders who need the term to survive contact with real products, tools, and failure modes. The goal is a practi…
Chain-of-Thought and Reasoning Models Explained is for builders who need the term to survive contact with real products, tools, and failure modes. The goal is a…
A support bot gets the ticket "Checkout returns ECONNRESET after 30s." The model replies with a confident billing FAQ. The prompt was fine. The context window w…
Teams often treat every LLM quality problem as a prompt problem. Often the real issue is what entered the context window, or whether the product needs a harness…
Claude Code is a terminal coding agent — useful only when the repo teaches it how you work. That teaching lives in CLAUDE.md, layered memory files, skills, hook…
A “Claude skill” is not a ranked leaderboard item. It is a reusable workflow: instructions, tools (often MCP), and a check that the output is good enough to shi…
AI literacy in 2026 is a stack, not ten unrelated hobbies. You need instructions models follow, tools that connect to real systems, answers grounded in your dat…
A vague prompt produces vague code; a structured prompt with role, constraints, examples, and a fixed output shape produces something you can test. Prompt engin…
A team fine-tunes a model on their entire internal knowledge base, expecting it to now "know" their product facts reliably — and in production, it still confide…
Gemini 1.5 Flash is Google's lightweight, high-throughput multimodal model engineered for low-latency production tasks. With a 1-million-token context window, s…
Want a curated collection instead? Topic hubs group the best content by subject.
Browse Topics