From the course: Process Documents with Azure AI Document Intelligence
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Using Document Intelligence for generative AI
From the course: Process Documents with Azure AI Document Intelligence
Using Document Intelligence for generative AI
- [Instructor] Azure Document Intelligence is an important building block in AI applications we have today, especially when a business needs to process any of their unstructured documents for AI training, processing, or outputs. One example of these applications would be retrieval-augmented generation or RAG applications in the field of generative AI. Large language models or LLMs like ChatGPT are pre-trained with data coming from the internet. However, there are a lot of cases where businesses want to use these LLMs for more than just internet data. They want to use these LLMs with their custom data to provide them with business insights. RAG applications meet this need by combining an LLM with an external data source filled with business custom data to generate enhanced responses outside of the LLM's original training set. The layout model of Azure Document Intelligence plays a key role in RAG by converting input documents into a format called markdown that LLMs can understand. Let…
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