<p>In this show, we break down the art of crafting prompts that help AI deliver <strong>precise, useful, and reliable results</strong>.</p><p>Whether you&#39;re summarising text, answering questions, generating code, or translating content — we’ll show you how to guide LLMs effectively.</p><p>We explore real-world techniques, from simple <strong>zero-shot prompts</strong> to advanced strategies like <strong>Chain of Thought</strong>, <strong>Tree of Thoughts</strong>, and <strong>ReAct</strong>, combining reasoning with external tools.</p><p>We’ll also dive into how to control AI output — tweaking things like <strong>temperature</strong>, <strong>token limits</strong>, and <strong>sampling settings</strong> — to shape your results.</p><p>Plus, we’ll share best practices for writing, testing, and refining prompts — including tips on examples, formatting, and structured outputs like <strong>JSON</strong>.</p><p>Whether you’re just getting started or already deep into advanced prompting, this podcast will help you sharpen your skills and stay ahead of the curve.</p><p>Let’s unlock the full potential of AI — one prompt at a time.<br></p><p><strong>Disclaimer: </strong><em>This podcast is generated by Roger Basler de Roca (contact) by the use of AI. The voices are artificially generated and the discussion is based on public research data. I do not claim any ownership of the presented material as it is for education purpose only.</em></p><p><a href="https://rogerbasler.ch/en/contact/">⁠https://rogerbasler.ch/en/contact/</a></p>