Content
- Advanced course (based on: Fundamentals Course)
- Learn to build RAG systems connected to LLMs
- Use RAG systems to create knowledge-driven assistants
- Enable your employees or customers to interact with your documents or data
Description
This course introduces best practices in building RAG systems with LLMs. RAG (Retrieval Augmented Generation) is a method to contextualize generic LLMs with custom data (public or internal). This technique can be used to create assistants with specific domain knowledge (such as your own corporate knowledge). This allows you or your customers to interact with your documents by means of talking to your data. Furthermore, RAG can be used to minimize the problem of hallucination (i.e., LLMs giving factually incorrect answers).
Level
The level of this course is advanced to expert. A firm knowledge of the basics and usage of LLMs is necessary. You can learn the basics in our Fundamentals Course. As preparation, we also recommend our advanced course for Prototyping LLM Apps, but it is not strictly necessary.
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