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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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What is Retrieval Augmented Generation (RAG)?

Pickl AI

Retrieval Augmented Generation (RAG) is a cutting-edge approach in natural language processing that combines two powerful techniques: information retrieval and text generation. The core idea is to enhance a language model’s output by grounding it in external, up-to-date, or domain-specific information.

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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

1,614,762 $1,625,687 $1,586,008 Domain knowledge Models must demonstrate an understanding of business and financial terms, practices, and formulae. Sonnet model now available in Amazon Bedrock: Even more intelligence than Claude 3 Opus at one-fifth the cost , Anthropic Claude 3.5 As pointed out in Anthropic’s Claude 3.5