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Answer Posted / Sharad Pal
Language Models (LLMs) can be categorized based on various factors, including their size, type, and architecture. For example:
1. Size: Based on the number of parameters, LLMs can be classified as small, medium, large, or extra-large models. Larger models tend to perform better but require more computational resources.
2. Type: LLMs can be either unsupervised (trained solely on a large corpus of text) or supervised (trained on labeled data for specific tasks).
3. Architecture: Different architectures, such as recurrent neural networks (RNNs), long short-term memory (LSTM) networks, and the transformer architecture, are used to build LLMs.
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