BreathGPT
What is BreathGPT?
A supportive breathwork coach for relaxation and mindfulness.
- Added on December 09 2023
- https://chat.openai.com/g/g-BkMNZ3zqv-breathgpt
How to use BreathGPT?
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Step 1 ： Click the open gpts about BreathGPT button above, or the link below.
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Step 2 ： Follow some prompt about BreathGPT words that pop up, and then operate.
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Step 3 ： You can feed some about BreathGPT data to better serve your project.
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Step 4 ： Finally retrieve similar questions and answers based on the provided content.
FAQ from BreathGPT?
BreathGPT is an open source natural language processing (NLP) library intended for unsupervised pre-training of transformer-based language models. Its goal is to make NLP technology more affordable and accessible to everyone by making it easier to develop unsupervised language models. The library is built on top of PyTorch and is specifically designed for efficient training on large language datasets. It includes a variety of advanced techniques to improve per- training performance, allowing users to quickly and easily train powerful language models.
BreathGPT works by training a transformer-based language model on large unlabeled language datasets using unsupervised techniques. The library is designed to facilitate the training process, providing an easy-to-use interface and efficient use of resources. It combines pre-training techniques such as distributed training and self-attention with a variety of model architectural advancements to improve the quality of pre-trained language models.
BreathGPT provides a number of advantages over other NLP libraries. Firstly, it is designed to be an accessible, affordable library, making it easier to develop efficient, powerful language models without the need for expensive computing hardware or complicated coding. Additionally, it is built on top of PyTorch, making it easier to integrate with existing PyTorch models. Finally, the library includes advanced techniques to improve pre-training performance, allowing users to quickly and easily train powerful language models.