Fine-Tuning and Best Practices
Few-Shot Learning
Large Language Models (LLMs) such as GPT-3 and GPT-4 have been pre-trained using an enormous amount of data from the open web, which consists of billions of words. This extensive training has transformed them into incredibly powerful tools capable of rapidly learning new tasks from just a few examples. This concept is known as “few-shot learning,” and it represents a groundbreaking advancement in the field of AI.
Undoubtedly, there are numerous other potent open-source few-shot learning projects available. To implement these few-shot learning projects, several robust Python libraries are at your disposal:
- Pytorch – Torchmeta: This is a collection of extensions and data-loaders for few-shot learning ...
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