AI for Beginners

Introduction to LLM Vulnerabilities

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Acquire hands-on experience protecting huge language models by fixing vulnerabilities, reducing risks, and making sure generative AI applications are deployed safely.

Key AI Functions:llm model,llm security,model replication,ai for beginners

Description for Introduction to LLM Vulnerabilities

  • Identifying Security Vulnerabilities and Attack Vectors in Large Language Models: Acquire the knowledge necessary to recognize prevalent security vulnerabilities and attack vectors that are particular to large language models.

  • Mitigating Model Replication and Shadowing Attacks: Acquire knowledge of strategies designed to mitigate model replication and shadowing attacks, which pose a threat to the integrity of models.

  • Preventing Prompt Injection and Insecure Output Handling: Gain knowledge on how to identify and stop prompt injection and insecure output handling flaws in AI systems.

  • Implementing Secure Plugin Design and Sensitive Information Redaction: Acquire expertise in the methodologies for developing secure plugins and effectively redacting sensitive information through the utilization of APIs and regular expressions.

Level: Beginner

Certification Degree: yes

Languages the Course is Available: 1

Offered by: On edX provided by AI

Duration: 1�3 hours per week 4 weeks (approximately)

Schedule: Flexible

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