Apple's bet on India to escape China risks just hit Trump's tariff wall. Stock down 17% as AI strategy fails while competitors soar. The company that once led tech innovation now trades at premium prices for mature-company growth.
OpenAI launches its first European AI data center in Norway with 100,000 NVIDIA chips by 2026. The $1 billion facility joins a global arms race as tech giants plan $300+ billion in AI infrastructure spending this year alone.
Arm Holdings abandons its licensing model to build chips directly, potentially competing with customers like Nvidia and Amazon. The risky pivot sent shares down 8% as the company bets its profitable business on a crowded market.
Category: Technical Terms
Fine-tuning adapts a pre-trained AI model for specific tasks by training it on specialized data.
Start with a general AI model trained on broad data. Then train it further on specific examples for your task. A general language model becomes a legal writing assistant after fine-tuning on legal documents.
This works better than training from scratch because the model already understands language basics and just needs to learn domain specifics.
Fine-tuning makes AI practical for specialized uses. Most commercial AI applications use fine-tuned models rather than generic ones.
It's cheaper and faster than building AI from scratch, and often produces better results for specific tasks.
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