Compare GPT-3 and GPT-2 model
GPT-3 (Generative Pre-trained Transformer 3) and GPT-2 (Generative Pre-trained Transformer 2) are both language models developed by OpenAI. Here are some of the key differences between the two models: Size: GPT-3 is much larger than GPT-2, with 175 billion parameters compared to GPT-2's 1.5 billion parameters. This makes GPT-3 much more powerful and capable of generating more complex and nuanced language. Training Data: GPT-3 was trained on a much larger and diverse dataset than GPT-2. While GPT-2 was trained on a variety of internet sources, GPT-3 was trained on a dataset that included not only internet sources, but also books, scientific papers, and other text sources. This makes GPT-3 better at understanding and generating language from a wide variety of sources. Performance: GPT-3 has been shown to outperform GPT-2 on a variety of language tasks, including language translation, summarization, and question-answering. GPT-3 is also able to generate more convincing and natural-s...