Remove AI Remove Knowledge Model Remove Natural Language Processing
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Commonsense Reasoning for Natural Language Processing

Probably Approximately a Scientific Blog

In the last 5 years, popular media has made it seem that AI is nearly if not already solved by deep learning, with reports on super-human performance on speech recognition, image captioning, and object recognition. Figure 1: adversarial examples in computer vision (left) and natural language processing tasks (right).

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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

Sonnet currently ranks at the top of S&P AI Benchmarks by Kensho , which assesses large language models (LLMs) for finance and business. Kensho is the AI Innovation Hub for S&P Global. The evaluation tasks S&P AI Benchmarks evaluates LLMs using a wide range of questions concerning finance and business.

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What is Retrieval Augmented Generation (RAG)?

Pickl AI

Summary: Retrieval Augmented Generation (RAG) is an innovative AI approach that combines information retrieval with text generation. By leveraging external knowledge sources, RAG enhances the accuracy and relevance of AI outputs, making it essential for applications like conversational AI and enterprise search.