Remove content tag math
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Text Annotation: The Complete Guide

Viso.ai

The process involves classifying blocks of text, tagging text elements for semantic annotation and understanding, or associating intent with conversational data. Entity Tagging Natural language text comprises various elements that give meaning to the text’s semantics. Entity tagging labels these elements into their respective classes.

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ChatGPT & Advanced Prompt Engineering: Driving the AI Evolution

Unite.AI

Poorly-defined prompts can result in output that is not helpful to the user and may even lead to misleading content. The application of STaR has shown promising results in tasks involving arithmetic, math word problems, and commonsense reasoning.

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Evaluation of generative AI techniques for clinical report summarization

AWS Machine Learning Blog

LLMs can handle complex tasks like math problems and commonsense reasoning, but they are not inherently capable of performing domain-specific complex tasks. A prompt has three main types of content: input, context, and examples. The application searches across a data repository to retrieve content relevant to the question or input.

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Multimodal Language Models Explained: Visual Instruction Tuning

Towards AI

Similarly, MM-ReAct [2] incorporates visual information in the forms of image captioning, dense captioning, image tagging, etc., With this technique, an existing LLM can be augmented for understanding visual-conditioned jokes and memes, visual math and text reasoning and spatial and coordinate understanding, visual planning, and prediction.

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Getting ready for artificial general intelligence with examples

IBM Journey to AI blog

AI systems like LaMDA and GPT-3 excel at generating human-quality text, accomplishing specific tasks, translating languages as needed, and creating different kinds of creative content. While cost wasn’t the primary driver, it reflects a growing belief that the value generated by gen AI outweighs the price tag.

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Naive Bayes Classifier, Explained

Mlearning.ai

Bae’s theorem Have you ever wondered how Twitter, Facebook, or Instagram can detect if you’ve posted something that appears to be offensive content? Do you think someone in these companies has been spying on you, or perhaps they have employees assigned to monitor all the content within their systems? So, how do they do that?

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10 AI Tools for Students: Enhancing Education with Technology

Pickl AI

Students can utilize Wolfram Alpha to tackle challenging math problems, explore scientific concepts, and access a wealth of information for their projects. By comparing the student’s work with the vast database of sources, turning it in can identify the plagiarised content and generate detailed reports.