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AI App Cost Savings Video Series

Practical patterns for reducing LLM costs in production apps

This video series provides developers with practical engineering patterns to reduce costs in production applications without compromising performance or quality. Key areas covered include: * Model Selection: Optimize by choosing the right model for each task. * Duplicate Calls: Prevent redundant requests. * Context Management: Avoid oversized context windows. * Prompt Caching: Implement effective prompt caching. * Efficient Reasoning: Use reasoning only when required. * Batch Processing: Convert real-time calls to batched operations when possible. The series treats cost control as a core engineering discipline, moving beyond unexpected billing surprises. It details how engineering choices for prompts, model routing, duplicate request handling, and context management can lead to significant margin leakage if not addressed. By applying these practical cost controls, teams can ensure their applications remain profitable as usage scales. Ideal for engineers and development teams building and operating text generation applications who need to optimize operational expenses and improve profitability. Learn to identify and fix common cost leaks efficiently.
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