Training a model to reach GPT-3 quality is an expensive endeavor. It requires large amounts of data, powerful computing resources, and the expertise of experienced data scientists. But the good news is that it doesn’t have to cost as much as people think.
According to recent research, it costs about $450K to train a model that reaches GPT-3 quality. This is significantly less than the estimates of $1M-$10M that have been floating around in the industry.
The cost savings come from the fact that GPT-3 models can be trained using fewer data and computing resources than previously thought. For example, GPT-3 models can be trained using just 10% of the data and compute resources that were previously thought to be necessary.
This means that training a GPT-3 model can be done much more quickly and cheaply than before. It also means that companies and organizations can take advantage of the latest advances in natural language processing without breaking the bank.
The cost savings don’t stop there. GPT-3 models can also be trained on cloud-based platforms, which can reduce the cost of training even further. This is because cloud-based platforms are often more cost-effective than on-premise hardware.
Overall, the cost of training a GPT-3 model is much lower than people think. It costs about $450K to train a model that reaches GPT-3 quality, which is 2x-10x less than people think. This makes GPT-3 models much more accessible to companies and organizations of all sizes.
The cost savings are likely to continue in the future, as the technology continues to improve and more efficient training methods are developed. So, if you’re looking to take advantage of the latest advances in natural language processing, now is the time to do it.
