5 Augmented Reality Careers
November 25, 2024
Article
Recommended experience
Beginner level
Anyone with basic Python knowledge interested in mitigating issues like hallucinations, prompt injections, and toxic outputs.
Recommended experience
Beginner level
Anyone with basic Python knowledge interested in mitigating issues like hallucinations, prompt injections, and toxic outputs.
Monitor and enhance security measures over time to safeguard your LLM applications.
Detect and prevent critical security threats like hallucinations, jailbreaks, and data leakage.
Explore real-world scenarios to prepare for potential risks and vulnerabilities.
Only available on desktop
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.
DeepLearning.AI is an education technology company that develops a global community of AI talent. DeepLearning.AI's expert-led educational experiences provide AI practitioners and non-technical professionals with the necessary tools to go all the way from foundational basics to advanced application, empowering them to build an AI-powered future.
Hands-on, project-based learning
Practice new skills by completing job-related tasks with step-by-step instructions.
No downloads or installation required
Access the tools and resources you need in a cloud environment.
Available only on desktop
This project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
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