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Jensen Huang, the CEO of NVIDIA, describes how AI is advancing in three key dimensions: 1. Pre-training: This is like getting a college degree. AI models are trained on massive datasets to develop broad, general knowledge about the world. 2. Post-training: Similar to specializing in a career, AI is fine-tuned to become an expert in specific fields like healthcare, finance, or language. 3. Test-time compute: This represents "thinking on the spot." When AI is deployed, it uses its knowledge to solve real-world problems in real time, adapting to new challenges. These three stagesโlearning broadly, specializing deeply, and thinking quicklyโare driving the rapid progress of AI. Huang highlights that this multi-dimensional development is why AI scaling continues, enabling smarter, faster, and more efficient systems capable of solving increasingly complex problems in every field.
Expanding Possibilit...ย โขย 3m
The Future of Intelligence is Unfolding Forget traditional AIโUniversal Intelligent System is built on: ๐น Self-Creating Codebase โ AI that writes and restructures itself ๐น Multi-Dimensional Learning Field โ Learns across realities, beyond hu
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๐ฆ๐๐ฝ๐ฒ๐ฟ ๐ถ๐ป๐๐ฒ๐ฟ๐ฒ๐๐๐ถ๐ป๐ด ๐ผ๐ฏ๐๐ฒ๐ฟ๐๐ฎ๐๐ถ๐ผ๐ป: The best AI users aren't necessarily the most technical. They're the ones with clear thinking about their problems. AI improves clarity and exposes confusion. People who have clarity over
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