Remove Artificial Intelligence Remove Knowledge Model Remove Natural Language Processing
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Commonsense Reasoning for Natural Language Processing

Probably Approximately a Scientific Blog

Figure 1: adversarial examples in computer vision (left) and natural language processing tasks (right). Machine learning models today perform reasonably well on perception tasks (image and speech recognition). COMET has been used successfully in various downstream tasks requiring commonsense knowledge.

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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

In the financial services industry, we hear customers ask which model to choose for their financial domain generative artificial intelligence (AI) applications. These applications require the LLMs to have requisite domain knowledge and be able to reason about numeric data to calculate metrics and extract insights.

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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.