Non Functional Testing for LLM, Chatbots and AI Models

🚀 Course Title: Non Functional Testing for LLM, Chatbots, and AI Models

🎓 Headline: Learn Essential AI Testing Techniques to Ensure Reliable, Ethical, and Human-Like Performance of Advanced AI Systems

🎉 Course Description:

Welcome to "Non Functional Testing for LLM, Chatbots, and AI Models" 🧠💻, your comprehensive guide to mastering the fundamentals of testing AI systems. Dive into the world of artificial intelligence with a focus on the non-functional aspects that set the stage for reliable performance, robust safety measures, and ethical considerations in AI deployment.

What You Will Learn:

• 📘 Introduction to AI Testing: Gain a profound understanding of testing in AI—beyond just functionality—to cover technical performance as well as ethical implications. Learn about the critical importance of responsible testing to mitigate risks and understand the potential impacts of AI failures.

• 🧠 Special Focus on Foundation Models and LLMs: Explore the unique challenges associated with large language models (LLMs) and foundational AI systems, which have significant impact across various industries.

• 🚀 AI System Evaluations: Discover how to design and implement effective testing frameworks for AI-based systems using both manual and automated tools, enhance system performance, and ensure safety.

• 🤖 Adversarial AI Testing: Learn about the robustness of AI models against malicious inputs and test manipulation. Understand the methodologies to evaluate how well AI systems withstand adversarial attacks.

• 🤔 PerspectiveAPI for Ethical and Toxicity Testing: Integrate PerspectiveAPI and other tools to test AI systems for ethical compliance, detect harmful outputs, and ensure adherence to safety standards.

• 👥 Humanness in AI: Assess whether AI systems generate human-like, contextually aware, and empathetic interactions. Evaluate the "humanness" of responses given by AI models.

• 👀 Ethical AI: Address the risks associated with AI, including bias, fairness, and transparency. Learn how to test for ethical compliance and ensure that AI systems adhere to responsible AI practices.

• 🤫 Testing ChatGPT and Chatbots Using APIs in MLOps: Understand how to evaluate conversational models through APIs and integrate these critical tests into MLOps pipelines for continuous AI improvement.

• 📈 Case Studies: Review real-world examples of AI testing to learn from common pitfalls and best practices. Apply these lessons to ensure AI systems are reliable and safe.

Who This Course Is For:

• Aspiring AI professionals seeking a comprehensive understanding of the techniques and practices required for AI system testing.

• Developers, data scientists, AI enthusiasts, and anyone interested in the technical and ethical mechanisms that drive AI system reliability.

• Career starters in AI who aim to develop expertise in AI safety and ethical considerations.

• Seasoned tech professionals looking to enhance their skill set with advanced knowledge of AI testing methodologies and best practices.

Join us on this journey to ensure the integrity, safety, and ethical alignment of AI technologies! 🌍🤖✨

Enroll Now: Embark on your learning journey with "Non Functional Testing for LLM, Chatbots, and AI Models" and become an integral part of the safe and ethical development of advanced AI systems. Let's pioneer together in the realm of AI testing and excellence! 🚀📚🎓