What it takes to create a GPT-3 product

Article très complet, en tout cas j'aimerai bien avoir accès pour tester un concept proche de DungeonAI

When Open-AI introduced GPT-3 last year, it was met with much enthusiasm. Shortly after GPT-3’s release, people started using the massive language model to automatically write emails and articles, summarize text, compose poetry, create website layouts, and generate code for deep learning in Python. There was an impression that all types of new businesses would emerge on top of GPT-3.

Eight months later, GPT-3 continues to be an impressive scientific experiment in artificial intelligence research. But it remains to be seen whether GPT-3 will be a platform to democratize the creation of AI-powered applications.

Granted, a disruptive technology might need more time to create a sustainable market, and GPT-3 is unprecedented in many respects. But developments so far show that those who stand to benefit the most from GPT-3 are companies that already wield much of the power in AI, not the ones who want to start from scratch.

via Deep Learning Weekly : lire l’article source

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