Prompt Injection Attacks — How They Work and How to Defend Your LLM API
Defend against prompt injection: direct vs indirect attacks, input sanitization, system prompt isolation, output validation, sandboxed execution, and rate limiting.
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Defend against prompt injection: direct vs indirect attacks, input sanitization, system prompt isolation, output validation, sandboxed execution, and rate limiting.
Techniques for manually and automatically optimizing prompts including structured templates, chain-of-thought, few-shot selection, compression, and DSPy automation.
Manage prompts with version control, automated regression testing, eval datasets, A/B testing in production, and canary deployments for safe prompt evolution.
Define AWS infrastructure with TypeScript instead of HCL. Loops, conditions, and reusable components turn IaC into maintainable code.
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