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Generative AI tools enable the creation of text and visual content such as images and videos.

How RAG Gen AI Helps Businesses Retrieval-Augmented Generation (RAG) enhances AI by combining real-time data retrieval with generative models, making it highly effective for businesses. Key Benefits: Better Decision-Making – Provides real-time ins

🚀 New Video Alert! 🎉 We've just released a tutorial on building a Retrieval-Augmented Generation (RAG) application using Ollama and Microsoft's Phi-3 model. Key Points: Ollama:A platform that enables running large language models locally, enhanc

🎨 Top 20 AI Tools for Graphic Design (2025) 🚀 Boost creativity & save time with these trending AI design tools: 1️⃣ ✨ Adobe Firefly – Smart image generation 2️⃣ 🎨 Canva Magic Studio – AI layouts & editing 3️⃣ 🖌️ Figma AI Assist – Auto design su

AI video tools are everywhere — but should text-to-video generation replace traditional filming entirely? 🎥🤖 With platforms like Hailuo 02, you can turn text or images into stunning short videos in minutes — no cameras, actors, or editing suites n

6 Chunking Methods for RAG you should know. I’ve explained it in a simple, step by step way. 𝗪𝗵𝗮𝘁 𝗶𝘀 𝗖𝗵𝘂𝗻𝗸𝗶𝗻𝗴? 1. Chunking means splitting large documents into smaller pieces. 2. Helps LLMs search and understand data better. 3. Essent

6 Chunking Methods for RAG you should know. I’ve explained it in a simple, step by step way. 𝗪𝗵𝗮𝘁 𝗶𝘀 𝗖𝗵𝘂𝗻𝗸𝗶𝗻𝗴? 1. Chunking means splitting large documents into smaller pieces. 2. Helps LLMs search and understand data better. 3. Essent

In the ever-evolving AI landscape, a new player is making waves — Deepseek. While OpenAI, Google DeepMind, and Meta AI have been dominant forces, Deepseek is emerging as a formidable contender in the AI race.The recent buzz around Deepseek stems from

7 database types used in modern AI systems. I’ve explained each one in simple steps. 1. 𝗩𝗲𝗰𝘁𝗼𝗿 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀 • 𝗠𝗮𝗶𝗻 𝗣𝘂𝗿𝗽𝗼𝘀𝗲: Store embeddings so AI can search by meaning. • 𝗛𝗼𝘄 𝗶𝘁 𝘄𝗼𝗿𝗸𝘀: Text/images → vectors → neare

Excited to share my latest project! ​I am working on a project titled "Intelligent Vision-Driven Document Assistant with Agentic RAG." ​The goal is to transform static, unstructured PDFs (like financial reports) into interactive knowledge assets. In