If you move fast and get lucky and have the right combination of expertise and stay on the right side of each platform’s unique and mysterious recipe of productivity metrics, you can make decent money. I spoke to a playwright making $10,000 a month, a multitalented chemist who at various points found gigs demonstrating poker and singing for AI. But even then, there is an inescapable awareness of ephemerality because producing training data means working toward your own obsolescence. While the number of people doing data work may continue to rise, any particular gig will last only as long as it takes for the machines to successfully mimic it. It takes years for a human to develop expertise, and sooner or later, they’re going to run out of skills to sell.
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人 民 网 版 权 所 有 ，未 经 书 面 授 权 禁 止 使 用。免实名服务器对此有专业解读
We’d like to compare each of the query vectors against the larger pool of document vectors and return the resulting similarity (dot product) for each of the vector combinations.
，更多细节参见谷歌
“It probably comes down to the way we grow up,” says Caslick. “We play so many different sports all year round, changing between them. Boys will play school rugby on Saturday then club rugby league on Sunday for as long as they can. More girls are starting to do that as well. Throw in touch or oztag, and we have so many opportunities. It challenges athletes to find where they are best suited. Until you get exposed to different formats, you don’t know which one is for you.”。业内人士推荐官网作为进阶阅读
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