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Anthropic Claude 3.5 Sonnet ranks number 1 for business and finance in S&P AI Benchmarks by Kensho

AWS Machine Learning Blog

The questions are written by financial professionals using real-world data and financial knowledge. As such, they are closer to the kinds of questions that business and financial professionals would ask in a generative AI application. As pointed out in Anthropic’s Claude 3.5 Get started with Anthropic Claude 3.5

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What is Retrieval Augmented Generation (RAG)?

Pickl AI

This hybrid model addresses the limitations of traditional generative systems. Introduction Retrieval Augmented Generation (RAG) represents a groundbreaking approach to artificial intelligence. Unlike standalone models, RAG enhances traditional generative AI by leveraging external knowledge sources.