Learning Path
Question & Answer
Choose the Best Answer
To reduce the model size
To adapt the model to specialized data for improved performance
To create a completely new model from scratch
To eliminate the need for training data
Understanding the Answer
Let's break down why this is correct
Fine‑tuning lets the model learn patterns that are unique to the business data. Other options are incorrect because The goal is not to shrink the model; Creating a new model from scratch is a different job that needs lots of data and time.
Key Concepts
Transformer Architecture
easy level question
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Deep Dive: Transformer Architecture
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Definition
The Transformer is a network architecture based solely on attention mechanisms, eliminating the need for recurrent or convolutional layers. It connects encoder and decoder through attention, enabling parallelization and faster training. The model has shown superior performance in machine translation tasks.
Topic Definition
The Transformer is a network architecture based solely on attention mechanisms, eliminating the need for recurrent or convolutional layers. It connects encoder and decoder through attention, enabling parallelization and faster training. The model has shown superior performance in machine translation tasks.
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