Learn the complete way to test RAG implementations. From functional to performance from Python to RAGAs and DeepEval
Sub Category
- Software Testing
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Objectives
- Understand the Basics of LLMs
- Understand LLM Application types
- Gain know how on types of AI - Weak and Generative
- Understand How RAG works
- Understand the types of RAG Testing
- A lot of ready to use code that can be used from moment 0
- Understand ML metrics such as Accuracy, Recall and F1
- Understand RAG Testing Metrics such as Context Recall, Context Accuracy
- Understand RAG Testing Metrics such as Answer Relevancy
- Understand RAG Testing Metrics such as Truthfulness
- Gain know how with RAGAs open source Testing framework
- Gain know how with DeepEval open source Testing framework
- Understand how to create custom metrics
- Test for Coherence, Fluency, tone and other human specific metrics
- Rapid validation tools for MVPs using RAG systems.
- Deep understanding of metrics (fluency, coherence, relevance, conciseness), customizable test frameworks.
Pre Requisites
- Some basic Python programing experience
- Basic understanding of LLMs and AI
- A LLM API Key
- Basic Testing understanding
- Laptop/ PC with VS Code
- Willingness to learn a new hot skill
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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