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𝗧𝗵𝗲 𝗯𝗶𝗴𝗴𝗲𝘀𝘁 𝗺𝗶𝘀𝘁𝗮𝗸𝗲 𝗶𝗻 𝗔𝗜 𝗶𝘀𝗻’𝘁 𝘂𝘀𝗶𝗻𝗴 𝗶𝘁 𝘄𝗿𝗼𝗻𝗴. It’s just 𝐜𝐨𝐧𝐬𝐮𝐦𝐢𝐧𝐠 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 and doing 𝐧𝐨𝐭𝐡𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐢𝐭. You read about prompt engineering… but never write your own. You save AI tools

"𝗠𝗼𝘀𝘁 𝗽𝗲𝗼𝗽𝗹𝗲 𝗦𝗧𝗜𝗟𝗟 𝗺𝗶𝘀𝘂𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱 𝗔𝗜 — 𝗛𝗲𝗿𝗲’𝘀 𝘄𝗵𝗮𝘁 𝗶𝘁 𝗿𝗲𝗮𝗹𝗹𝘆 𝗹𝗼𝗼𝗸𝘀 𝗹𝗶𝗸𝗲! ⬇️ Everyone talks about AI, but AI is not just "one thing" (and also not just ChatGPT)! Artificial Intelligence is often m

𝗜𝗱𝗲𝗮 𝗨𝗻𝗹𝗼𝗰𝗸𝗲𝗱 : 𝗔𝗜 𝗜𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 𝗦𝗲𝗿𝘃𝗶𝗰𝗲 𝗳𝗼𝗿 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲𝘀 Shared by Ishavasyam Dash, Director at Antler. Many businesses are eager to implement AI systems but lack the necessary knowledge on how and

Data scientist, Data analyst, AI engineer, or AI agent builder? Which one is best? I've explained below. 1. 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 This field teaches you how to 𝗮𝗻𝗮𝗹𝘆𝘇𝗲 𝗱𝗮𝘁𝗮, 𝗯𝘂𝗶𝗹𝗱 𝗠𝗟 𝗺𝗼𝗱𝗲𝗹𝘀, 𝗮𝗻𝗱 𝗱𝗲𝗽𝗹𝗼𝘆 𝘁𝗵𝗲𝗺 𝗶

Simple breakdown of different elements in AI systems today. Extremely easy to understand. Here’s more: 𝗟𝗟𝗠𝘀 → Great at text generation and reasoning, but limited to training data. 𝗥𝗔𝗚 (𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹-𝗔𝘂𝗴𝗺𝗲𝗻𝘁𝗲𝗱 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼

𝗔𝗜 𝗱𝗼𝗲𝘀𝗻’𝘁 𝗿𝗲𝗽𝗹𝗮𝗰𝗲 𝘆𝗼𝘂. 𝗜𝘁 𝗿𝗲𝗳𝗹𝗲𝗰𝘁𝘀 𝘆𝗼𝘂. Most people say, “𝐀𝐈 𝐝𝐨𝐞𝐬𝐧’𝐭 𝐰𝐨𝐫𝐤 𝐰𝐞𝐥𝐥 𝐟𝐨𝐫 𝐦𝐞.” But here’s the real issue: 𝐈𝐟 𝐲𝐨𝐮 𝐠𝐢𝐯𝐞 𝐯𝐚𝐠𝐮𝐞 𝐢𝐧𝐬𝐭𝐫𝐮𝐜𝐭𝐢𝐨𝐧𝐬, 𝐲𝐨𝐮’𝐥𝐥 𝐠𝐞𝐭 𝐯�

𝗔𝗜 𝗯𝗼𝗼𝗺 𝗶𝗻 𝗜𝗻𝗱𝗶𝗮𝗻 𝗦𝘁𝗮𝗿𝘁𝘂𝗽𝘀: A recent report by Meta and Alvarez & Marsal reveals that over 70% of Indian startups have integrated AI across their core business functions. These functions include operations, customer service,

How Multi-Agent AI systems actually work? Explained in a very simple way. Read below: -> 𝗧𝗵𝗲 𝗠𝗮𝗶𝗻 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 The main 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 is the 𝗼𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗼𝗿. It has several capabilities: • 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲 – Stores knowledge o

Stop building “AI wrappers.” Start building 𝗔𝗜-𝗡𝗮𝘁𝗶𝘃𝗲 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝘀-systems where AI is the operating core, not a feature bolted on. Think of building 𝗙𝗶𝗻𝗦𝗶𝗴𝗵𝘁, a next-gen personal finance assistant, compared to a classic budgetin

𝗝𝘂𝘀𝘁 𝗳𝗶𝗻𝗶𝘀𝗵𝗲𝗱 𝗔𝗻𝗱𝗿𝗲𝗷 𝗞𝗮𝗿𝗽𝗮𝘁𝗵𝘆’𝘀 𝗯𝗿𝗲𝗮𝗸𝗱𝗼𝘄𝗻 𝗼𝗳 𝘄𝗵𝗲𝗿𝗲 𝗔𝗜 𝗶𝘀 𝗴𝗼𝗶𝗻𝗴. Here's a clear breakdown — no fluff, just what builders need to know: 𝟭. 𝗣𝗿𝗼𝗺𝗽𝘁𝘀 𝗮𝗿𝗲 𝘁𝗵𝗲 𝗻𝗲𝘄 𝗰𝗼𝗱𝗲 We’ve moved