GPT-3, the latest language model from OpenAI, is making waves in the artificial intelligence (AI) world. With its impressive capabilities, it is no surprise that GPT-3 is one of the most talked-about AI technologies today. But what many people don’t know is that GPT-3 is also one of the most expensive AI technologies to use.
The cost of training GPT-3 is estimated to be over 4.6 million dollars when using a Tesla V100 cloud instance. This is a significant cost, especially when compared to other AI technologies. Additionally, the training time for GPT-3 can take up to 9 days, making it a long and expensive process.
The cost of GPT-3 is due to its large size. GPT-3 is a large language model with 175 billion parameters, making it one of the largest AI models ever created. This large size is necessary for GPT-3 to achieve its impressive capabilities, but it also makes it very expensive to train.
The cost of GPT-3 is also due to its power requirements. GPT-3 requires a lot of computing power to train, and this power comes at a cost. Additionally, GPT-3 requires a lot of data to train, and this data must be purchased or collected. All of these costs add up to make GPT-3 one of the most expensive AI technologies to use.
Despite its high cost, GPT-3 is still an impressive AI technology. Its large size and impressive capabilities make it a powerful tool for natural language processing tasks. It is also being used in a variety of applications, from customer service chatbots to automated legal document analysis.
In conclusion, GPT-3 is an impressive AI technology, but it is also one of the most expensive AI technologies to use. Its large size and power requirements make it a costly endeavor, but its capabilities make it worth the cost for many applications.