space between transformers and transfer-learning

index.md

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 Transfer Learning
   [Transfer Learning](https://en.wikipedia.org/wiki/Transfer_learning) is a process of leveraging a pre-trained model's learned representations and adapting them to solve a different but related problem, often requiring less data and computation compared to training from scratch.. See also {term}`fine-tuning` and [](fine-tuning).
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 Transformer
   A [transformer](<https://en.wikipedia.org/wiki/Transformer_(machine_learning_model)>) is a neural network using a parallel multi-head [attention](<https://en.wikipedia.org/wiki/Attention_(machine_learning)>) mechanism. The resultant reduce training time makes it well-suited for use in {term}`LLMs <llm>`.