Google Subsidiary DeepMind Goes RETRO to Push AI Forward

Large language models like Generative Pre-trained Transformer 3 (or GPT-3) have boosted the branch of artificial intelligence called natural language processing (NLP). But while the applications for NLP algorithms are myriad, they operate on text data, which makes them complex and expensive and often limits their usefulness. For example, GPT-3 contains 175 billion parameters, costs roughly $12 […] Read more at ETFtrends.com.