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AI models are moving fast, and here’s all you should know about GPT-5: • 𝗚𝗣𝗧-5 → full reasoning power for complex tasks • 𝗚𝗣𝗧-5-𝗻𝗮𝗻𝗼 → ultra-fast responses, lightweight • 𝗚𝗣𝗧-5-𝗺𝗶𝗻𝗶 → cost-effective and efficient • 𝗚𝗣𝗧-5-𝗰𝗵𝗮𝘁

Your AI sucks because it’s stuck at Level 1. You can easily take it to Level 3. I've explained below. 𝗦𝘁𝗲𝗽 1 – 𝗕𝗮𝘀𝗶𝗰 𝗟𝗟𝗠 (𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴) • This is the simplest level of AI systems. • You give input text or a docu

🚀 How to Save 90% on Your AI Costs Here’s exactly how we cut AI costs from $500/month to $5/month: 1. Avoid LLMs When Possible Use rules, regex, or database lookups for simple tasks (60–80% of workflows). Example: A lead qualification bot using rege

Get RAG-ready data from any unstructured document. This is crazy for AI companies. I've explained below. 𝗦𝘁𝗲𝗽 1 – 𝗨𝗻𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲𝗱 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁𝘀 (𝗧𝗵𝗲 𝗦𝗼𝘂𝗿𝗰𝗲) • Real-world PDFs and documents are messy. Tables, images, signa

Steps to building AI systems with LLM's. I've given a simple detailed explanation below. 𝗦𝘁𝗲𝗽 1 – 𝗟𝗟𝗠𝘀 (𝗟𝗮𝗿𝗴𝗲 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹𝘀) • These are the 𝗯𝗿𝗮𝗶𝗻𝘀 of the system. • Examples: GPT (OpenAI), Gemini, Claude etc. • Th

2 core ways AI learns and when to use each. I’ve explained each in a simple, detailed way below. 𝗣𝗼𝗶𝗻𝘁 1: 𝗘𝘅𝘁𝗲𝗿𝗻𝗮𝗹 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗥𝗔𝗚 • Pulls information from outside sources like APIs, PDFs, or databases • Answers are based on

Which is more crucial today: AI or ML Engineer? I've explained it in a simple way below. 𝗔𝗜 𝗘𝗡𝗚𝗜𝗡𝗘𝗘𝗥 • Builds complete AI-powered products end to end • Brings AI into real-world apps and business workflows • Works on inference, APIs, agen

🚀 10-Day Startup Series - 01 July 2025 🧵 Post 1️⃣7️⃣ : Today let's see how to launch your startup right way, like what is GTM, and how to focus on getting your early users ( Do not always go for first 10K users, climb the steps one by one ) we wil

If you use AI agents, you’ve probably faced these problems. I've explained 5 common issues and how to fix them. 1. 𝗖𝗼𝗻𝘁𝗲𝘅𝘁 𝗟𝗼𝘀𝘀 𝗶𝗻 𝗖𝗼𝗻𝘃𝗲𝗿𝘀𝗮𝘁𝗶𝗼𝗻𝘀 𝘊𝘩𝘢𝘭𝘭𝘦𝘯𝘨𝘦: AI agents often forget earlier parts of a conversation or

5 Layers of AI Product Development. I've explained each in short, simple steps below. 1. 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗟𝗮𝘆𝗲𝗿 → Handles everything the user sees and interacts with → Ensures login security and smooth user experience → Stores session co