1. Large Language model
The advanced version of LMs, trained on larger datasets and use advanced techniques such as deep learning and transformers to analyze complex relationships between words.
Ex:
- ChatGPT by Open AI
- BERT, Palm2, T5 by Google
- Turing NLG by Microsoft
2. Small Language model
Compact versions of LLMs that require less training data, have simpler architectures, and are quicker to develop.
Suitable for specific tasks and domains, offering focused expertise, as well as for devices with limited processing power.
Ex:
- Gemma Models By Google
- Phi-2 By Microsoft
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