with advancements in technology and access to vast amounts of data, modern language models like GPT-3 have been trained on massive datasets containing a significant portion of the internet, resulting in a broader understanding of various topics.
GPT-3, for example, is based on the transformer architecture, which allows it to capture complex dependencies in language and generate more coherent and contextually relevant responses.
with the improved capabilities of modern models, they are now used for a wide range of applications, including natural language understanding, chatbots, content generation, sentiment analysis, and more.
Researchers and developers are actively working on making these models more responsible, fair, and unbiased in their responses.