Breakthrough technology called Confident Adaptive Language Modeling (CALM) can improve large language model speeds by up to three times
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Google announced a breakthrough technology called CALM that speeds up large language models (like GPT-3 and LaMDA) without compromising performance levels.
Larger Training Data Is Better But Comes With a Cost
Large Language Models (LLMs) train on large amounts of data.
Training the language models on larger amounts of data results in the model learning new abilities that aren’t always planned for.
For example, adding more training data to a language model can unexpectedly result in it gaining the ability to translate between different languages, even though it wasn’t trained to do that.
These new abilities are called emergent abilities, abilities that aren’t necessarily planned for.
A different research paper (PDF) about emergent abilities states:
“Although there are dozens of examples of emergent abilities, there are currently few compelling explanations for why such abilities emerge in the way they do.”
They can’t explain why different abilities are learned.
But it’s well known that scaling up the amount of data for training the machine allows it to gain more abilities.
The downside of scaling up the training data is that it takes...
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