LLM Safety in Apply
What you’ll be taught
Perceive the highest 10 safety dangers in LLM-based purposes, as outlined by the OWASP LLM Prime 10 (2025).
Establish real-world vulnerabilities like immediate injection, mannequin poisoning, and delicate information publicity — and the way they seem in manufacturing methods.
Study sensible, system-level protection methods to guard LLM apps from misuse, overuse, and focused assaults.
Acquire hands-on information of rising threats equivalent to agent-based misuse, vector database leaks, and embedding inversion.
Discover greatest practices for safe immediate design, output filtering, plugin sandboxing, and charge limiting.
Keep forward of AI-related rules, compliance challenges, and upcoming safety frameworks.
Construct the mindset of a safe LLM architect — combining menace modeling, safe design, and proactive monitoring.
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