Full Information to LLM Safety Testing
What you’ll be taught
Definition and significance of LLMs in trendy AI
Overview of LLM structure and elements
Figuring out safety dangers related to LLMs
Significance of knowledge safety, mannequin safety, and infrastructure safety
Complete evaluation of the OWASP High 10 vulnerabilities for LLMs
Methods for immediate injection assaults and their implications
Figuring out and exploiting API vulnerabilities in LLMs
Understanding extreme company exploitation in LLM programs
Recognizing and addressing insecure output dealing with in AI fashions
Sensible demonstrations of LLM hacking strategies
Interactive workouts together with a Random LLM Hacking Sport for utilized studying
Actual-world case research on LLM safety breaches and remediation
Enter sanitization strategies to stop assaults
Implementation of mannequin guardrails and filtering strategies
Adversarial coaching practices to boost LLM resilience
Future safety challenges and evolving protection mechanisms for LLMs
Finest practices for sustaining LLM safety in manufacturing environments
Methods for steady monitoring and evaluation of AI mannequin vulnerabilities
Why take this course?
LLM Pentesting: Mastering Safety Testing for AI Fashions
Course Description:
Dive into the quickly evolving discipline of Giant Language Mannequin (LLM) safety with this complete course designed for each newcomers and seasoned safety professionals. LLM Pentesting: Mastering Safety Testing for AI Fashions will equip you with the talents to establish, exploit, and defend in opposition to vulnerabilities particular to AI-driven programs.
What You’ll Study:
- Foundations of LLMs: Perceive what LLMs are, their distinctive structure, and the way they course of information to make clever predictions.
- LLM Safety Challenges: Discover the core points of knowledge, mannequin, and infrastructure safety, alongside moral concerns vital to protected LLM deployment.
- Fingers-On LLM Hacking Methods: Delve into sensible demonstrations primarily based on the LLM OWASP High 10, overlaying immediate injection assaults, API vulnerabilities, extreme company exploitation, and output dealing with.
- Defensive Methods: Study defensive strategies, together with enter sanitization, implementing mannequin guardrails, filtering, and adversarial coaching to future-proof AI fashions.
Course Construction:
This course is designed for self-paced studying with 2+ hours of high-quality video content material (and extra to return). It’s divided into 4 key sections:
- Part 1: Introduction – Course overview and key goals.
- Part 2: All About LLMs – Fundamentals of LLMs, information and mannequin safety, and moral concerns.
- Part 3: LLM Hacking – Fingers-on hacking ways and a singular LLM hacking sport for utilized studying.
- Part 4: Defensive Methods for LLMs – Confirmed protection strategies to mitigate vulnerabilities and safe AI programs.
Whether or not you’re seeking to construct new abilities or advance your profession in AI safety, this course will information you thru mastering the safety testing strategies required for contemporary AI functions.
Enroll in the present day to realize the insights, abilities, and confidence wanted to turn out to be an skilled in LLM safety testing!
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