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12min chapter
Jason Haley: Azure Services For Artificial Intelligence - Episode 309
Azure & DevOps Podcast
Navigating Costs and Capabilities of RAG with Azure OpenAI
This chapter explores the complexities of using retrieval-augmented generation (RAG) with large language models in data processing, highlighting challenges related to costs and usage patterns. It emphasizes the energy consumption associated with Azure OpenAI and its implications for customer expenses, alongside practical examples of utilizing APIs for effective data management. The discussion also covers the strengths and limitations of language models in various business applications, advocating for careful context provision to enhance accuracy.
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