Transformers in ML: What They Are and How They Work
Transformers in ML: What They Are and How They Work Transformers are often mentioned together with contemporary foundational models that are trained on large quantities of data. Think of GPT-3 and the new release of GPT-4, which is one of the largest language models ever created. GPT-3 has 175 billion parameters and was trained on a massive corpus of text equating to 570GB. We don’t know anything about GPT-4 parameters yet, but according to Open AI, it is […]