What are Pretrained Language Models (PLMs)?
AI models that are pre-trained on large datasets to understand and generate human language effectively.
More about Pretrained Language Models (PLMs):
Pretrained Language Models (PLMs) are AI models trained on extensive datasets to capture linguistic patterns, semantics, and context. These models, such as GPT or BERT, serve as foundational models that can be fine-tuned for specific tasks like retrieval-augmented generation (RAG) or semantic search.
PLMs are widely used in knowledge-grounded generation, context-aware generation, and other applications requiring a deep understanding of language.
Frequently Asked Questions
What are the advantages of pretrained language models?
They provide a strong foundation for various tasks, enabling quick fine-tuning for domain-specific applications.
How are PLMs used in retrieval systems?
PLMs are integrated into frameworks like RAG to combine retrieval and generative capabilities.
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