Khóa Masterclass Kiểm thử Mô hình Học máy (AI)

Welcome to "Testing AI: Foundation Models, LLMs, Chatbots & More," your comprehensive guide to understanding the fundamentals of testing advanced AI systems. Whether you're a developer, a data scientist, or simply an AI enthusiast, this course will equip you with the knowledge and skills necessary to assess and improve the reliability, performance, and safety of AI technologies.

What You Will Learn:

• Introduction to AI Testing: Understand the importance of testing AI systems, including ethical considerations and the potential impacts of AI failures.

• Testing Basics: Learn about different types of testing methodologies like unit testing, integration testing, and system testing as applied to AI.

• Special Focus on Foundation Models and LLMs: Dive deep into the challenges and techniques for testing large language models and foundational AI systems that are reshaping numerous industries.

• Chatbot Testing: Explore the unique aspects of testing conversational AI, ensuring they respond accurately and appropriately in varied scenarios.

• AI System Evaluations: Learn how to design and implement effective testing regimes for different AI-based systems, using both manual and automated tools.

• K - Folding of Data: Understand how to split all your data into : Training, Evaluation and testing data. Get more out of your data by splitting and training it on the same data, but with different validation subsets each time, ensuring that your model learns from multiple perspectives. This technique helps improve generalization, reduces overfitting, and provides a more reliable estimate of model performance.

• Case Studies: Gain insights from real-world scenarios that highlight common pitfalls and best practices in AI testing.

• Ethical AI: understand the risk with AI and the ethics behind AI. How can and should you test for this

• Benchmarking: Understand how to test the AI against some common benchmarking models such as: BLUE, HellaSWAG, MMLU, HumanEval and other.

• Testing ChatGPT / Chatbots  with the help of an API and integration this into MLOPS chain.

• Adversarial AI: understand how to test for robustness in AI Models

Who This Course Is For:

This course is ideal for anyone looking to gain a solid grounding in the techniques and practices essential for testing AI systems. Whether you’re starting a career in AI, looking to enhance your professional skills, or interested in the mechanisms behind AI system reliability, this course has valuable insights for you.

Course Features:

• Engaging video lectures

• Practical assignments and hands-on projects

• Quizzes and exams to test your knowledge

• Access to a community forum for discussion and collaboration

• Lifetime access to course materials

Enroll now to start mastering the crucial skill of testing AI systems and ensure you’re prepared to contribute to the development of safe and reliable AI technologies!