Pre-Trained General-Purpose LLM

A Pre-Trained General-Purpose LLM is a pre-trained general-purpose neural model that is a pre-trained LLM and a general-purpose LLM.

• Context:
  • It can (typically) be trained on extensive datasets covering various topics.
  • It can (often) be used for various natural language processing tasks without significant additional training.
  • It can range from being a Foundation/Base LLM to being an Instruct-Tuned General-Purpose LLM.
  • It can support tasks such as text generation, translation, summarization, and question answering.
  • It can provide a strong starting point for fine-tuning on specific tasks or domains.
  • ...
• Example(s):
  • Foundational Base LLM, such as GPT-3
  • Foundational Instruct LLM, such as LLaMA-Instruct model.
  • ...
• Counter-Example(s):
  • Foundational Encoder-Only Text Model], such as BERT, RoBERTa, ALBERT, DistilBERT.
  • Foundational Computer Vision Models, such as Foundational Object Detection CV Model.
• See: [[]], [[]].

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