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In this episode, we dive into the OpenAI Cookbook’s latest guide on the GPT-4.1 model family. Discover how this upgraded model pushes the boundaries in coding, instruction following, and handling complex tasks. We explore practical prompting strategies tailored for developers—covering agentic workflows, long context management, and effective tool use. You’ll hear real-world examples, including a SWE-bench verified agentic prompt and a customer service use case. Plus, we break down how to structure chain-of-thought prompts and apply file diffs in code workflows. Whether you’re building AI agents or just optimizing your prompts, this episode is packed with insights you can apply right away.
By DaniIn this episode, we dive into the OpenAI Cookbook’s latest guide on the GPT-4.1 model family. Discover how this upgraded model pushes the boundaries in coding, instruction following, and handling complex tasks. We explore practical prompting strategies tailored for developers—covering agentic workflows, long context management, and effective tool use. You’ll hear real-world examples, including a SWE-bench verified agentic prompt and a customer service use case. Plus, we break down how to structure chain-of-thought prompts and apply file diffs in code workflows. Whether you’re building AI agents or just optimizing your prompts, this episode is packed with insights you can apply right away.