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India vs USA T20 World Cup match today — full scorecard, fall of wickets, key moments, and match thrills as India survive a major scare through Suryakumar Yadav’s brilliance and disciplined bowling.

India were staring at disaster at 46/4 before Suryakumar Yadav produced one of the finest rescue acts of the T20 World Cup, lifting India to 161/9 and setting up a disciplined bowling performance that sealed a 29-run win over a spirited USA side.

Most people don’t need “more prompts.” They need a repeatable system. This guide shows you 7 powerful ways to upgrade ChatGPT prompt engineering so your plain-English idea becomes a copy-paste, high-performing prompt for almost any task.

Build a one person income system in 2026 using AI video and an AI video generator. Learn how creators are turning short videos into daily income and money online—without a team, camera, or editing skills.

Autocomplete is no longer the best AI for coding. In 2026, agent mode AI doesn’t just write code — it understands your repo, edits multiple files, runs tests, fixes bugs, and ships real features. This guide explains why AI coding agents are replacing autocomplete and how developers are using them to build faster than ever.

India A vs USA scorecard: India A smashed 238/3 and beat USA by 38 runs. Jagadeesan hit 104, Badoni 60*, Tilak Varma 38 + a wicket. Full scorecard + highlights.

Tilak Varma comeback stories don’t get more timely than this. Why the Tilak Varma comeback matters right nowThe injury update that started the worryThe warm-up...

Union Budget 2026 explained in simple language: key announcements, fiscal numbers, tax changes, and stock market winners & losers—plus what investors should do next.

Most people fail to make money online because they quit too early. This guide reveals 15 legit websites to make $50 a day online — no scams, no shortcuts, just platforms that actually work if you stay consistent.

Hybrid RAG is the difference between a confident AI and a correct one. If your RAG system sounds smart but keeps answering the wrong thing, the problem isn’t the LLM — it’s retrieval. In this guide, you’ll learn how to build Hybrid RAG using BM25, vector search, fusion, and reranking — the same retrieval pattern used in real production AI systems. We’ll break down Hybrid RAG in simple language, explain why vector-only RAG fails, and show how fusion + rerank dramatically improves answer accuracy. You’ll also get a clean Python blueprint for Hybrid RAG that you can adapt to any dataset. If you’re building RAG applications and care about accuracy, trust, and real-world performance, this article will change how you design retrieval forever.