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Key Areas of Prompt Engineering
The field of prompt engineering is broadly structured around three core topics: the study of common and foundational prompt designs, the development of advanced techniques to refine and improve these methods, and the exploration of approaches to automate the prompt design process.
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Ch.3 Prompting - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
Computing Sciences
Related
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 significant difference between these two approaches regarding the pre-trained model itself?
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
Learn After
Categorizing Prompt Development Activities
Match each prompt engineering activity with the key area it best represents.
A research team is working to improve a language model's performance on summarizing legal documents. First, they test a variety of simple, direct instructions. When these yield poor results, they develop a multi-step process where the model first extracts key arguments before creating the final summary. Based on the three core topics that structure the field of prompt engineering, which area of activity is this team currently neglecting?