Neural network models learning from examples without training
An MIT study shows how large language models can learn a new task from just a few examples, without the need for any new training data.
Source: controleng.com
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Solving a machine-learning mystery
MIT researchers have explained how large language models like GPT-3 are able to learn new tasks without updating their parameters, despite not being trained to perform those tasks. They found that these large language models write smaller linear models inside their hidden layers, which the large models can train to complete a new task using simple learning algorithms.
Source: mit.edu
On the Front Lines of AI: Training Large Language Models on New Tasks – without All the Retraining - High-Performance Computing News Analysis
Sometimes, machine learning models learn a new task without seeming to have learned – or been trained – to do it. That’s the findings of researchers at [...]
Source: insidehpc.com