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This is truly a commendable advancement by Mistral AI. Achieving 99% OCR accuracy across multiple languages, including Hindi, is no small feat. In a country like India, where documentation often spans various scripts and formats, such technology can

Ok, This is crazy! We got Chatgpt's close match competitor before GTA6! I personally Tried this AI, and its insane. Though this startup is funded 80% lesser than Chatgpt, It outperforms chatgpt in many occasions (Benchmarked results in the web) T

🎯 Smarter File Conversions with Table-Preserving Precision – Meet fileTailored Problem: Legacy file converters break formatting, butcher tables, and leave professionals wasting hours fixing PDF, DOC, or PPT exports. The lack of control and formatti

OpenAI’s new Codex is here! Now in ChatGPT Pro/Enterprise/Team (preview) + CLI, it automates coding tasks-writing features, fixing bugs, running tests-in a secure sandbox. - Automates everyday coding: writes new features, fixes bugs, and generate

Biz.ai An AI-driven, voice-enabled chatbot that serves as a business assistant specifically designed for e-commerce companies (with an initial focus on Shopify stores with high SKU counts, such as clothing and shoes). The solution simplifies data by

The AI Legends #75 Days Day 34: Stephen Wolfram Stephen Wolfram is best known as the creator of Mathematica, a computational software system, and Wolfram Alpha, a computational knowledge engine. History: Stephen Wolfram was born on August 29, 1959,

Why India’s Biggest Companies Are Betting on Agentic AI Agentic AI refers to autonomous GenAI agents capable of performing complex tasks with minimal human supervision. Indian companies, from startups to enterprises like Zomato, Infosys, and Zoho,

𝗛𝗼𝘄 𝘁𝗼 𝗱𝗲𝘀𝗶𝗴𝗻 𝗮𝗻𝗱 𝗮𝗱𝘃𝗲𝗿𝘁𝗶𝘀𝗲𝗺𝗲𝗻𝘁 𝗳𝗼𝗿 𝘆𝗼𝘂𝗿 𝘀𝘁𝗮𝗿𝘁𝘂𝗽/𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀? 1. Define the Purpose Goal: Brand awareness? Lead generation? Product launch? App downloads? Target audience: Who are you speaking to? (Stud

We recently integrated an AI chatbot into our website to improve user support and engagement. Initial tests showed everything was working fine — responses were fast, well-structured, and accurate. But once it went live, we started noticing something