The video explains that GPT, or Generative Pre-trained Transformer, is a large language model that uses deep learning and a self-attention mechanism to generate coherent and contextually relevant text. It undergoes unsupervised pre-training on vast amounts of data, allowing it to perform various language tasks such as answering questions, summarizing texts, and translating languages.
The video explains the concept of GPT, which stands for Generative Pre-trained Transformer. It is a type of large language model that utilizes deep learning techniques to generate text that resembles human writing. The architecture of GPT is based on the transformer model, which consists of encoder and decoder modules that work together to process input data effectively.
A key feature of GPT is its self-attention mechanism, which enables the model to assess the relationships between words in a contextual manner. This allows the model to understand the nuances of language and generate coherent and contextually relevant text. By evaluating how words relate to one another, GPT can produce more accurate and meaningful outputs.
The process begins with tokenization, where the input text is broken down into smaller units called tokens. Positional encodings are then applied to these tokens to maintain the order of words, which is crucial for understanding the structure of sentences. These tokens are subsequently mapped onto a vector space known as embedding, which helps the model to represent the text in a way that it can process.
GPT undergoes a phase known as unsupervised pre-training, where it learns from vast amounts of unlabeled data. During this phase, the model identifies patterns in the text and learns to apply these patterns to new inputs. This extensive training allows GPT to develop a robust understanding of language, enabling it to perform various language-related tasks effectively.
As a result of its training, GPT models are capable of executing a wide range of language tasks, including answering questions, summarizing texts, translating languages, and creating original content. The versatility and effectiveness of GPT make it a powerful tool in the field of natural language processing, with applications across different industries and domains.