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Justifying the LLM Development Pipeline
As the lead AI engineer for a new large language model, you must explain to a project manager why two distinct alignment stages are necessary after the initial, large-scale training phase is complete. The project manager argues, 'We trained the model on a massive dataset from the internet. Shouldn't it already know how to be helpful and follow instructions?' Formulate a concise justification that addresses the fundamental limitation of the initial training phase and clarifies the purpose of the subsequent alignment process.
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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
Analysis in Bloom's Taxonomy
Cognitive Psychology
Psychology
Social Science
Empirical Science
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Justifying the LLM Development Pipeline
A team of AI researchers is developing a new large language model intended for public use. Arrange the following high-level stages of their development process into the correct chronological order, starting from the initial training.
An AI development team has just completed the initial, large-scale training of a new language model on a massive dataset of text and code from the internet. What is the primary distinction in purpose between this initial training phase and the alignment stages that typically follow?