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Food for thought. Instead of building AI models/agents/RAGs, why not build for AI. There is a dearth of auxiliary products and services for AI development such as benchmarking, training environments, data cleaning, synthetic data generation etc. But

Ever purchased from brands like Peter England, Allen Solly, Louis Philippe, or Van Heusen? What do they have in common? All are owned by Madura Fashion, a division of the Aditya Birla Group. But why do they sound like foreign brands? Do brands wi

𝗕𝗶𝗴 𝗔𝗜 𝗙𝘂𝗻𝗱𝗶𝗻𝗴 – 𝗔𝗜𝟮𝟭 𝗟𝗮𝗯𝘀 𝗥𝗮𝗶𝘀𝗲𝘀 $𝟯𝟬𝟬𝗠 Israeli startup AI21 Labs has secured a massive $300M in Series D funding. - Backers: Nvidia and others - Focus: Building reliable, powerful alternatives to ChatGPT - Product

Hello Everyone, I am Amit Hirani From Surat. I am manufacturer of cosmetic products. and Only few brands are successful in the specific product And I am one of them. And Now I am going to expand it. I want financial support. If any One is intereste

Quick Question for Fashion Shoppers! Do you ever struggle to find new or lesser-known fashion brands that match your style? If you’re browsing online for clothes, is discovering new brands or finding clothing tailored to specific occasions (like a

30 AI Buzzwords Explained for Entrepreneurs 1) Large Language Model (LLM) LLMs are like super-smart computer programs that can understand and do almost anything you ask them using regular language. Think of tools like ChatGPT or Gemini – they're a

India's Al Leaders: Building Smart Language & Automation Solutions : - 1. Krutrim: Founded in 2022, it focuses on developing an India-specific LLM for 10 languages and became India's first pure-play Al unicorn. 2. Sarvam Al: Launched in 2023 by Al4

This can end FMCG Brand's Monopoly! So until now you all have seen the false marketing of FMCG brands. For eg: 1) An Drink named ORSL writing it's "not an ORS" 2) Cashew and Almond biscuits having less than 1% of Cashew 3) Excessive Sugar Content

🔍 Ever wondered what sets successful AI projects apart from the unsuccessful ones? In my experience, it comes down to a few key factors: Integrated MLOps: Ensuring seamless deployment and monitoring of models can make or break AI projects. Deep Le