The scarcity of data to train the models ai represents a point of historical decline. Alternatively, the use of synthetic data emerges as a practicable solution, but it is not without risk.
Artificial intelligence is about to exhaust all the data available on the Internet for your training, according to Elon Musk, owner of XI and CEO of XAI, among other companies.
The proposed solution provides for the crossing of one of the greatest challenges of the formation of the model: the use of synthetic data – that is, allow the same to manage the data you will continue to learn.
Why is it important?
The scarcity of data to form the models represents a inflection In the development of the AI. This scenario can decelerate The rhythm of technological progress, which has been exponential in recent years.
The context
Large language models require huge quantities of data to improve their performance. With the exhaustion of real data available – those generated by humans in the traditional way – the industry is forced to seek practicable alternatives to continue to advance the development of the product as chatbots and images of images.
This idea is not new and has already been applied to other artificial intelligence projects. According to Gartner, 60% of the data used in projects to 2024 were generated briefly. Companies such as Microsoft, Openai, Anthropic and Meta already adopt this approach.
- THE Palmyra X 004A model created to improve existing artificial intelligence applications, has been trained with synthetic data and costs $ 700 thousand.
- The estimated cost to train a similar model of open is 4.6 million dollars.
The difference from the proposal of …
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