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Prompting as a Text Generation Task
A common approach to utilizing Large Language Models is to describe a desired task in text and then prompt the model to generate a response based on that description. This method effectively frames problem-solving as a standard text generation task, where the model's objective is to continue or complete the text starting from the provided context.
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Foundations of Large Language Models
Ch.2 Generative Models - Foundations of Large Language Models
Foundations of Large Language Models Course
Computing Sciences
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Zero/Few-Shot Learning
A team is tasked with adapting a large, pre-trained language model to summarize legal documents. One developer designs a method where each summarization request includes a detailed set of instructions and examples of high-quality summaries, which are provided to the original, unchanged model. Another developer uses a large dataset of legal documents and their corresponding summaries to make small, permanent adjustments to the model's internal configuration before deploying it. What is the most s
Choosing a Model Adaptation Strategy
Key Areas of Prompt Engineering
Instruction-Following Ability of LLMs
Components of a Prompt: Instruction and User Input
When a language model successfully performs a new task based on a well-crafted prompt, its internal parameters are temporarily adjusted for the duration of that specific task to better align with the provided instructions.
Prompting as a Text Generation Task