It’s always crucial to address and monitor safety and quality concerns in your applications. Building LLM applications poses special challenges.
In this course, you’ll explore new metrics and best practices to monitor your LLM systems and ensure safety and quality. You’ll learn how to:
1. Identify hallucinations with methods like SelfCheckGPT.
2. Detect jailbreaks (prompts that attempt to manipulate LLM responses) using sentiment analysis and implicit toxicity detection models.
3. Identify data leakage using entity recognition and vector similarity analysis.
Read more
It’s always crucial to address and monitor safety and quality concerns in your applications. Building LLM applications poses special challenges.
In this course, you’ll explore new metrics and best practices to monitor your LLM systems and ensure safety and quality. You’ll learn how to:
1. Identify hallucinations with methods like SelfCheckGPT.
2. Detect jailbreaks (prompts that attempt to manipulate LLM responses) using sentiment analysis and implicit toxicity detection models.
3. Identify data leakage using entity recognition and vector similarity analysis.
It’s always crucial to address and monitor safety and quality concerns in your applications. Building LLM applications poses special challenges.
In this course, you’ll explore new metrics and best practices to monitor your LLM systems and ensure safety and quality. You’ll learn how to:
1. Identify hallucinations with methods like SelfCheckGPT.
2. Detect jailbreaks (prompts that attempt to manipulate LLM responses) using sentiment analysis and implicit toxicity detection models.
3. Identify data leakage using entity recognition and vector similarity analysis.
4. Build your own monitoring system to evaluate app safety and security over time.
Upon completing the course, you’ll have the ability to identify common security concerns in LLM-based applications, and be able to customize your safety and security evaluation tools to the LLM that you’re using for your application.
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Activities
Identify Mentors with LLM Expertise
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Connect with experienced professionals to receive personalized guidance and support in navigating the complexities of LLM safety and quality.
Show steps
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Network with individuals in the field through conferences, meetups, or online forums.
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Seek out mentors with specific expertise in LLM safety and quality assurance.
LLM Safety Study Group
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Engage in peer-led discussions and collaborative problem-solving to reinforce safety and quality practices in LLM applications.
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Join or form a study group with peers to discuss and share experiences in LLM safety and quality assessment.
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Present and critique each other's approaches for monitoring and mitigating LLM risks.
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Brainstorm innovative solutions to emerging challenges in LLM safety and security.
Show all two activities
Identify Mentors with LLM Expertise
Show steps
Connect with experienced professionals to receive personalized guidance and support in navigating the complexities of LLM safety and quality.
Show steps
- Network with individuals in the field through conferences, meetups, or online forums.
- Seek out mentors with specific expertise in LLM safety and quality assurance.
LLM Safety Study Group
Show steps
Engage in peer-led discussions and collaborative problem-solving to reinforce safety and quality practices in LLM applications.
Show steps
- Join or form a study group with peers to discuss and share experiences in LLM safety and quality assessment.
- Present and critique each other's approaches for monitoring and mitigating LLM risks.
- Brainstorm innovative solutions to emerging challenges in LLM safety and security.
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