cunth
cunth t1_j71ocf6 wrote
Reply to comment by Nhabls in [N] Microsoft integrates GPT 3.5 into Teams by bikeskata
Not sure about the above claim, but you can train a GPT2 model in 38 hours for about 600 bucks on rented hardware now. Costs are certainly coming down.
cunth t1_j71nxsu wrote
Reply to comment by ThunderySleep in [N] Microsoft integrates GPT 3.5 into Teams by bikeskata
Ability to execute will become even more important when competence is normalized.
cunth t1_j68az5v wrote
Reply to comment by locri in $2.5t spending potential held by Chinese consumers if reopens fully. by Infamous_Sympathy_91
Cuban cigars have trippled in price over the last year and are still difficult to get largely thanks to a surge in Chinese demand. The sheer size of their middle class with discretionary income now is a force to be reckoned with.
If OP's data is true, it will undoubtedly affect demand for luxury goods at the least.
cunth t1_j71ovks wrote
Reply to comment by theoneandonlypatriot in [N] Microsoft integrates GPT 3.5 into Teams by bikeskata
Getting a good data set to train a model is usually the most time-consuming task. You need breadth amd depth of content so your model doesn't overfit and work for just a handful of narrow use cases.
Supervised learning algorithms need labeled data (e.g. classification tags) and this is traditionally done with people. If that can be done with AI, you can complete this 100x faster and probably more accurately.