Curriculum learning – teaching LLMs effectively
Curriculum learning is an approach in ML, particularly when training LLMs, that mimics the way humans learn progressively from easier to more complex concepts. The idea is to start with simpler tasks or simpler forms of data and gradually increase the complexity as the model’s performance improves. This approach can lead to more effective learning outcomes and can help the model to better generalize from the training data to real-world tasks. Let’s take a closer look at this approach.
Key concepts in curriculum learning
Here, we’ll review some key concepts in curriculum learning that you should be aware of.
Sequencing
Sequencing in curriculum learning is analogous to the educational curricula in human learning, where subjects are taught in a logical progression from simple to complex. In ML, the following are applicable:
- Graduated complexity: Training begins with easier instances to give...
