Gpt 2

Introduction The GPT-2 Large Language Model, developed by OpenAI, has garnered significant attention since its release in 2019. As a state-of-the-art natural language processing (NLP) model, it has revolutionised the way we interact with machines and how they understand human language. Despite its impressive performance, users often seek to fine-tune the…

Breaking Down the GPT-2 and GPT-3 Tokenizers Transformers are powerful models that have revolutionized natural language processing (NLP) by achieving state-of-the-art performance on a variety of NLP tasks. One of the key components of these models is the tokenizer. …

Language models have come a long way in recent years, with the advent of transformer-based models like GPT leading to a significant leap in natural language generation capabilities. With its ability to generate coherent and high-quality text, GPT has become a popular choice for a variety of text generation tasks…

Introduction: In this article, we will guide you through the process of setting up OpenAI’s GPT-2 on Ubuntu 18.04 using Python 3.7. We will cover the installation of Python 3.7, creating a virtual environment, installing TensorFlow 1.13.1 (or 1.15), and downgrading the protobuf package to fix potential compatibility issues. Install Python 3.7: To…

Tokenization is an essential step in natural language processing that involves splitting text into smaller units called tokens, which can then be used for various tasks such as language modeling, text classification, and sentiment analysis. …

Word embeddings are dense vector representations of words or tokens, and are a common way to vectorize text data before feeding it into machine learning algorithms for Natural Language Processing. There are different ways to obtain word embeddings and this article will focus on word embeddings learnt by a pre-trained…

Introduction Large Language Models (LLMs) are a subset of artificial intelligence (AI) that are designed to understand and generate natural language. These models are trained on vast amounts of textual data and use complex algorithms to learn patterns in language. LLMs have been used to develop a range of applications…

As a large language model based on the GPT-3.5 architecture, ChatGPT is a perfect example of the capabilities of GPT technology. ChatGPT has been trained on a massive corpus of text, allowing it to understand natural language and engage in human-like conversations. …

GPT, which stands for “Generative Pre-trained Transformer,” is a type of language model developed by OpenAI. These models are pre-trained on vast amounts of text data, allowing them to generate human-like language and complete various language tasks, such as language translation, summarization, and question-answering. The GPT series is the latest…