Darren LI

模拟训练、现实finetune,显然是有意义的,以前使用model-based的奇怪人也喜欢用

自动驾驶汽车公司尝试过这种方法,但尚未完全成功。许多自动驾驶汽车公司,比如特斯拉,尝试通过在大量数据上训练这样一个端到端的大模型来实现5级自动驾驶,他们拥有训练模型所需的资源,资金和数据。特别是特斯拉在实际部署的10几万辆汽车中,不断收集并注释数据。尽管如此,特斯拉迄今尚未能生产出5级自动驾驶系统。这并不是说他们的方法根本不起作用,它能够处理大量驾驶情况,然而,它远未达到99.X%的可靠性。

Shein combines parts of Apple and Amazon to build its compounding advantage. Like Apple, it controls its entire value chain, from the factory floor to the Shein app. Building a strong brand and user experience should allow it to charge premium prices, like Apple, but instead, it chooses to consistently delight customers through lower prices, like... See more

The quest to be shoppers' No. 1 destination has two tech giants pitted against each other. After losing ground to Amazon, Google is doubling down on Shopping to be customers' first choice.

This transformation begins with less-complex, one-off models (typically referred to as machine learning) to do simple tasks that are forgiving to mistakes; for example, Netflix using AI to recommend shows.

I tell my AIs what to do. I push a button. They do it instantly and it costs me about $1.50 to $3.00 in OpenAI API charges.