<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title>Bing: Text Structure Model</title><link>http://www.bing.com:80/search?q=Text+Structure+Model</link><description>Search results</description><image><url>http://www.bing.com:80/s/a/rsslogo.gif</url><title>Text Structure Model</title><link>http://www.bing.com:80/search?q=Text+Structure+Model</link></image><copyright>Copyright © 2026 Microsoft. All rights reserved. These XML results may not be used, reproduced or transmitted in any manner or for any purpose other than rendering Bing results within an RSS aggregator for your personal, non-commercial use. Any other use of these results requires express written permission from Microsoft Corporation. By accessing this web page or using these results in any manner whatsoever, you agree to be bound by the foregoing restrictions.</copyright><item><title>Text Structure - Ereading Worksheets</title><link>https://www.ereadingworksheets.com/text-structure/</link><description>Text Structure The term “text structure” refers to how information is organized in a passage. The structure of a text can change many times in a work and even within a paragraph. Students are often asked to identify text structures or patterns of organization on state reading tests. Also, understanding text structures can help students make and interpret arguments. For these reasons it is ...</description><pubDate>Sun, 05 Apr 2026 19:18:00 GMT</pubDate></item><item><title>Structured information extraction from scientific text with large ...</title><link>https://www.nature.com/articles/s41467-024-45563-x</link><description>Extracting structured knowledge from scientific text remains a challenging task for machine learning models. Here, we present a simple approach to joint named entity recognition and relation ...</description><pubDate>Wed, 14 Feb 2024 23:53:00 GMT</pubDate></item><item><title>Prompting best practices - Claude API Docs</title><link>https://platform.claude.com/docs/en/build-with-claude/prompt-engineering/claude-prompting-best-practices</link><description>Comprehensive guide to prompt engineering techniques for Claude's latest models, covering clarity, examples, XML structuring, thinking, and agentic systems.</description><pubDate>Mon, 06 Apr 2026 16:11:00 GMT</pubDate></item><item><title>What is a Large Language Model (LLM) - GeeksforGeeks</title><link>https://www.geeksforgeeks.org/artificial-intelligence/large-language-model-llm/</link><description>Large Language Models (LLMs) are advanced AI systems built on deep neural networks designed to process, understand and generate human-like text. LLMs Learn patterns, grammar and context from text and can answer questions, write content, translate languages and many more. By using massive datasets and billions of parameters, LLMs have transformed the way humans interact with technology. Modern ...</description><pubDate>Mon, 06 Apr 2026 15:14:00 GMT</pubDate></item><item><title>Large language model - Wikipedia</title><link>https://en.wikipedia.org/wiki/Large_language_model</link><description>A large language model (LLM) is a computational model designed to perform natural language processing tasks, especially language generation, using contextual relationships derived from a large set of training data. [1][2] LLMs can generate, summarize, translate and parse text in a variety of contexts, [3] and are the technological underpinning ...</description><pubDate>Mon, 06 Apr 2026 15:21:00 GMT</pubDate></item><item><title>Understanding OpenAI’s CLIP model | by Szymon Palucha | Medium</title><link>https://medium.com/@paluchasz/understanding-openais-clip-model-6b52bade3fa3</link><description>Understanding OpenAI’s CLIP model CLIP was released by OpenAI in 2021 and has become one of the building blocks in many multimodal AI systems that have been developed since then. This article is ...</description><pubDate>Fri, 23 Feb 2024 23:57:00 GMT</pubDate></item><item><title>Adding Conditional Control to Text-to-Image Diffusion Models</title><link>https://arxiv.org/abs/2302.05543</link><description>We present ControlNet, a neural network architecture to add spatial conditioning controls to large, pretrained text-to-image diffusion models. ControlNet locks the production-ready large diffusion models, and reuses their deep and robust encoding layers pretrained with billions of images as a strong backbone to learn a diverse set of conditional controls. The neural architecture is connected ...</description><pubDate>Sun, 05 Apr 2026 15:15:00 GMT</pubDate></item><item><title>Implementing the Text Structure Strategy in Your Classroom</title><link>https://www.readingrockets.org/topics/comprehension/articles/implementing-text-structure-strategy-your-classroom</link><description>Learn how to implement a research-based text structure strategy that infuses text structures at every step of reading comprehension instruction, beginning with the introduction of the lesson, previewing of text, selecting important ideas, writing a main idea, generating inferences, and monitoring comprehension.</description><pubDate>Sun, 05 Apr 2026 13:13:00 GMT</pubDate></item><item><title>Introducing ChatGPT - OpenAI</title><link>https://openai.com/index/chatgpt/</link><description>We’ve trained a model called ChatGPT which interacts in a conversational way. The dialogue format makes it possible for ChatGPT to answer followup questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests.</description><pubDate>Mon, 06 Apr 2026 14:02:00 GMT</pubDate></item><item><title>HTML DOM (Document Object Model) - GeeksforGeeks</title><link>https://www.geeksforgeeks.org/javascript/dom-document-object-model/</link><description>The HTML DOM (Document Object Model) is a structured representation of a web page that allows developers to access, modify, and control its content and structure using JavaScript. It powers most dynamic website interactions, enabling features like real-time updates, form validation, and interactive user interfaces.</description><pubDate>Sun, 05 Apr 2026 22:03:00 GMT</pubDate></item></channel></rss>