Example of a Large-Scale Fine-Tuning Dataset: FLAN
The FLAN dataset serves as a prominent example of a large-scale fine-tuning resource. It is a compilation of 15 million samples aggregated from 1,836 distinct tasks, illustrating the massive scale of data used in modern LLM development.
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Ch.4 Alignment - Foundations of Large Language Models
Foundations of Large Language Models
Computing Sciences
Foundations of Large Language Models Course
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Example of a Large-Scale Fine-Tuning Dataset: FLAN
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A research lab has successfully developed a powerful, general-purpose language model. Their next goal is to make this model exceptionally good at following specific user commands and answering questions accurately. As they adopt the common strategy of further training the model on a collection of command-and-response examples, which of the following challenges will they most likely identify as the primary bottleneck to achieving their goal?
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