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This excerpt is from the 30th edition of the Weekly Dose of GenAI Adoption newsletter, written by Indy Sawhney, a strategic advisor at Amazon Web Services. The newsletter focuses on real-world applications and strategies for incorporating generative AI into enterprise operations. This particular edition examines the Retrieval Augmented Generation (RAG) design pattern and the need to adopt an evaluation-driven development mindset when working with probabilistic mathematical models. The newsletter also explores various evaluation techniques for RAG applications, including human-in-the-loop assessment and the use of large language models as judges. Finally, Sawhney emphasizes that while GenAI is advancing rapidly, it is still an assistive technology best suited for foundational applications that offer immediate value to organizations.
This excerpt is from the 30th edition of the Weekly Dose of GenAI Adoption newsletter, written by Indy Sawhney, a strategic advisor at Amazon Web Services. The newsletter focuses on real-world applications and strategies for incorporating generative AI into enterprise operations. This particular edition examines the Retrieval Augmented Generation (RAG) design pattern and the need to adopt an evaluation-driven development mindset when working with probabilistic mathematical models. The newsletter also explores various evaluation techniques for RAG applications, including human-in-the-loop assessment and the use of large language models as judges. Finally, Sawhney emphasizes that while GenAI is advancing rapidly, it is still an assistive technology best suited for foundational applications that offer immediate value to organizations.