ChatGPT 4.0 is obviously now the latest version:
It doesn’t know about today’s announcement of custom GPTs (past the traning date or just because not fully rolled out yet?)
Accessing custom versions of GPT (Generative Pretrained Transformer) models can be done typically through platforms that allow users to train and deploy machine learning models. Here’s how you might go about it:
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Using OpenAI’s Platform:
- OpenAI provides an API for GPT-3 and has announced future access to GPT-4, which allows developers to integrate the model into their applications. OpenAI also offers fine-tuning capabilities that can be used to train GPT models on custom datasets to better suit specific tasks or domains.
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Through Other Cloud Providers:
- Some cloud providers offer services that let you train machine learning models, including custom versions of GPT. They may provide pre-trained models as a base for further training.
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Building Your Own:
- If you have the expertise, you can create a custom GPT model by training it on a dataset of your choice. This requires significant computational resources and machine learning knowledge.
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Collaborating with Research Institutions or Companies:
- Some research projects and companies develop their custom versions of GPT for specific purposes and may offer access to their models for research or commercial use.
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Using Open-Source Implementations:
- There are open-source versions of transformer models that can be customized and trained with your data. These are available on platforms like GitHub.