This summary of the video was created by an AI. It might contain some inaccuracies.
00:00:00 – 00:00:03
The video discusses GPT, a large language model that generates human-like text. It explains that large language models are pre-trained on massive amounts of text data, such as books and articles. GPT-3, for example, has 175 billion ML parameters and is trained on 45 terabytes of data. The architecture of these models involves using transformers, which enable understanding the context of words in a sentence. The model learns during training to predict the next word in a sentence. Business applications of large language models include creating chatbots for customer service, generating content like articles, emails, and social media posts, and assisting in software development. The video emphasizes that as these models evolve, more innovative applications are likely to emerge.