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[ARTICLE · art-68651] src=blog.sparsh.dev ↗ pub= topic=large-language-models verified=true sentiment=· neutral

How to prompt LLM?

A guide on prompting large language models recommends techniques such as roleplay and decomposition to improve output quality, advising users to adopt personas like 'senior database architect' or 'financial advisor' and break complex tasks into simpler steps.

read1 min views1 publishedJul 22, 2026

Prompting Techniques Use any one to many according to your knowledge. Roleplay : "Act as a senior database architect. Explain..." "You are a financial advisor speaking to a beginner investor. Explain..." "You're a financial advisor. Explain [topic] to a first-time investor." Decomposition : "

source & further reading
blog.sparsh.dev — original article What’s new: Air gets more agents, local models, and Java/Kotlin code intelligence RubyMine 2026.2: Agentic Debugging, Native GitHub Copilot Integration, Default Symbol-Based Code Insight, and More What’s New in PyCharm 2026.2
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