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🦾AI model training comes with significant costs. This chart highlights the estimated expenses for training top AI models like Google’s Gemini 1 and OpenAI’s ChatGPT-4 in 2023. These costs, calculated using both cloud computing and amortized hardware

OpenAI has for months been working with Broadcom to create an AI chip for running models, which could arrive as soon as 2026, reports Reuters. Meanwhile, OpenAI plans to use AMD chips through Microsoft's Azure cloud platform for model training.

DeepSeek just shook the AI world—and NVIDIA felt it. A single company wiped 17% off NVIDIA’s market cap—that’s $600B (~₹48,00,000 Cr)gone overnight. For perspective, that’s: - More than the combined value of TCS, Reliance, and HDFC Bank - Bigge

"Synthetic Data" is used in AI and LLM training !! • cheap • easy to produce • perfectly labelled data ~ derived from the real world data to replicate the properties and characteristics of the rela world data. It's used in training an LLM (LLMs

OpenAI is expected to face significant losses of approximately $44 billion before achieving profitability in 2029. A recent report from The Information sheds light on OpenAI's financial situation, revealing several key points: 1. OpenAI is unlikely

This is the only way OpenAI is coming up with models named O3-mini-high and O4-mini-high

Ilya and Open AI missions with his new “safe” AI Ilya Sutskever, co-founder of OpenAI, is launching a new venture called Safe Superintelligence, dedicated to creating artificial general intelligence (AGI) that prioritizes safety, akin to "nuclear sa

🚨 Mira Murati, former OpenAI CTO to raise $100M for new AI startup The company will train proprietary models to build AI products. Barret Zoph from OpenAI is expected to join the company too. Source | Artificial intelligence 🤖

Has anyone here tried dropshipping? What are the estimated monthly operating costs for an e-commerce store? Additionally, what key areas should a beginner focus on to avoid failure?

💡An Idea to Change the Game for AI Startups: Making AI Processing Faster, Cheaper, and Effortless Running AI models like ChatGPT, DALL·E, or AlphaCode is a computing monster—they need massive power to function, which makes them expensive to operate