ChatGPT’s ability to read and interpret tables within PDF files has become a significant area of interest for users dealing with business reports, scientific articles, invoices, and other data-rich documents. While the model is capable of handling many types of structured content, its real-world performance is affected by a mix of document properties, technical platform constraints, and the nature of the extraction workflow. Whether ChatGPT can accurately “see,” extract, and

Microsoft Copilot’s context management and memory features are central to how the assistant interprets user input, maintains relevance, and delivers responses that draw on chat history, organizational data, and personalized facts. The structure of the Copilot context window and its retention mechanisms differ by product, underlying model, and the orchestration that governs the integration of retrieved content, chat history, and explicit memory. ····· Microsoft Copilot uses la

Grok has positioned itself as a distinctive conversational AI by emphasizing speed, real-time awareness, and a tone closely aligned with the fast-moving culture of social media. Built by xAI and deeply integrated into the X platform, Grok appeals to users who value immediacy, topical relevance, and unfiltered engagement with current events. However, when evaluated alongside more established general-purpose AI assistants such as ChatGPT and Google Gemini, Grok’s strengths also