Can we outperform GPT-x based models on a budget?

Trainig a GPT-3 is supposed to cost more than 10 millions of dollars, the cost of their API is not so cheap and they still struggling with bias.

Is it possible to build an architecture able to perform at the same level, in a "budget" ?
Tools like Microsoft LUIS are dead? (Quick answer: No!)
How a good dataset worth 100 times more than an array of GPUs computing massive data.?

Starting from resources like hugging face we will access pre-trained models and libraries that will speed up our job.

Finally we will talk about the final architecture that merges GPT-x with (several) Microsoft LUIS (Basically a QnA maker) in production able to perform as well as very expensive solutions (sometimes far away better) .

Sebastiano Galazzo

Artificial intelligence researcher and proud dad

Milan, Italy

View Speaker Profile

Please note that Sessionize is not responsible for the accuracy or validity of the data provided by speakers. If you suspect this profile to be fake or spam, please let us know.

Jump to top