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Constructing a Fine-Tuning Sample
You are tasked with fine-tuning a language model to act as a helpful travel agent specializing in Italian cuisine. Construct a single, complete data sample (both the input and the desired output) that could be used for this training. Your sample should clearly distinguish between the instructional parts of the input and the model's target response.
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Ch.2 Generative Models - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
Computing Sciences
Ch.4 Alignment - Foundations of Large Language Models
Creation in Bloom's Taxonomy
Cognitive Psychology
Psychology
Social Science
Empirical Science
Science
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Components of the Input in an Instruction Fine-Tuning Sample
A machine learning engineer is preparing a dataset to train a language model to summarize articles. Below is a single, complete data point from this dataset, formatted as a continuous block of text. Based on the typical structure for such training data, which option correctly identifies the two primary components of this sample?
Data Sample:
System: You are a helpful assistant that summarizes texts.
Instruction: Summarize the following article.
Article: [A long article about the discovery of a new planet...]
Summary: Scientists have discovered a new exoplanet, named Kepler-186f, which orbits within the habitable zone of its star, suggesting the potential for liquid water.
A developer is creating a single data sample to fine-tune a chatbot. Arrange the following components into the correct sequence to form a complete and valid training example.
Constructing a Fine-Tuning Sample
Examples of Instruction Fine-Tuning Samples