chat gpt’s twitter bio

GPT

GPT stands for Generative Pre-trained Transformer, a type of large language model developed by Open AI. It is designed to understand and generate human-like text based on the input it receives. GPT uses a machine learning technique called transformers, which allows it to process language in a way that captures the context and relationships between words over long text sequences.

• Generative - it can create or generate text that is coherent and contextually relevant.
• Pre-trained: GPT is initially trained on vast amounts of data from the internet, learning language patterns, grammar, and general knowledge. This pre-training helps it understand a wide variety of topics.
• Transformer: This refers to the specific neural network architecture used in GPT, which excels at tasks like translation, summarization, and text generation.

TRANSFORMERS

In 2017, the Transformer architecture was introduced in a paper titled "Attention is All You Need.’

This was an revolutionary paper which went in dept into the problems with pre existing models.

Its key ideas and facts were-

• Recurrent Neural Networks (RNNs) are useful but have a problem: they process information one step at a time. This makes it hard for them to work quickly and efficiently on longer sequences of data.

"This inherently sequential nature precludes parallelization within training examples, which becomes critical at longer sequence lengths, as memory constraints limit batching across examples."

• The Transformer model removes the need for repeated steps and complex processes. Instead, it uses attention mechanisms to understand relationships across the entire input and output, making training much faster by allowing more tasks to be done at the same time.

A tweet by Andrej Karpathy, top AI engineer at Tesla.

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