Trains large language models using NVIDIA's PyTorch and Hugging Face technology.
LLMs (Language Models) like those fine-tuned with GPT-3, or a custom Virtual Language Model.
This skill saves you time and cost by using PyTorch and Hugging Face, and letting you fine-tune LLMs on demand, without needing to know how to handle large model training from scratch.
"A solo developer, Alex, wants to create a chat interface on their website. They write a script to fine-tune a pre-trained LLM with GPT-3 using this skill, then integrate the model into their site using NVIDIA's PyTorch and Hugging Face. After a few hours of work, Alex has a functioning chat interface that understands their users' queries."
Beginners should learn this when they start experimenting with building their first chat-based interface.
Senior developers and researchers will find this tool useful when building and fine-tuning large language models for complex applications.
This skill does not come with pre-trained models; users must fine-tune their own LLMs using pre-trained models or their own custom data.
Automodel allows founders to train large language models using Pytorch's native distributed support, accelerating AI development with out-of-the-box Hugging Face support.
pip install automodelpython automodel/train.py --config configs/example_config.json --model_name my_large_language_model
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