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RAG continues to rise (Practical AI #264)
Apr 10, 2024
Daniel & Chris chat with 'the funniest guy in AI', Demetrios Brinkmann, discussing results of the MLOps Community survey and the upcoming AI Quality Conference. Topics include RAG models, generative AI workloads, transformer architecture, and neuromorphic computing.
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Quick takeaways
- Generative AI models like RAG are favored for automation, companies allocate budgets towards AI.
- Growing importance of exploring various AI technologies and the need for robust evaluation frameworks.
Deep dives
The Rise of RAG Models and Maturity in AI Workloads
Generative AI models, like RAG, are being favored for their role as assistants and automators over predictors. The industry observes distinct use cases where generative models excel, such as transcription and copilot functionalities. Furthermore, the emergence of 'RAG as a service' highlights the trend towards leveraging these models for various applications. Companies are exploring combinations of traditional ML and generative AI to optimize workflow.
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