Cut Through the Noise: Affordable DeepSeek Training Uncovered - The Daily Scroll

This might be my best AI video yet but it's also my biggest FLOP:In this video we,- Explore the difference between FLOP, FLOPS, & FLOPs- Reveal why AI is fun... The Economics of Efficient AI. The numbers tell a compelling story of efficiency. While most advanced AI models require between 16,000 and 100,000 GPUs for training, DeepSeek managed with just 2,048 GPUs running for 57 days. Once the configuration matches what DeepSeek expects, the proxy connects cleanly, and responses start flowing. This tutorial walks throughthe exact setup that works, without guesswork or extra tweaks. DeepSeek’s underestimation of its true costs fuels the belief that AI innovation can be cheap. But as everyone in the industry knows, trainingcutting-edge models is expensive, and trying to minimize those costs can have dire consequences, both financially and reputationally. DeepSeek’s models have garnered attention for their impressive performance and remarkably low training costs. For instance, the DeepSeek-V3 model, which boasts 671 billion parameters, was reportedly trained for just $5.58 million over a period of two months. Comparison of the training costs of two cutting-edge language models, DeepSeek V3 (671B parameters) and Llama 3.1 (405B parameters). DeepSeek AI, a burgeoning force in the artificial intelligence landscape, has recently unveiled its groundbreaking R1 model, attracting significant attention for its impressive performance and, more importantly, its remarkable efficiency in training. Chinese AI DeepSeektrained with just $6mil and almost on par with GPT4o - not only that but 30x cheaper!Discover how DeepSeek, trained for $6M, competes with GPT-4o at 30x lower cost, revolutionizing AI accessibility. #deepseek #ai #artificialintelligence #aitools.