– Paper focuses on enhancing application of LLMs.
– Introduces prompt patterns for effective prompt engineering.
– The paper discusses the use of large language models (LLMs), such as ChatGPT.
– LLMs are used to automate software development tasks.
– Prompt engineering techniques are applied to converse effectively with LLMs.
– The paper presents a catalog of prompt patterns to improve LLM outputs.
– Prompt patterns provide reusable solutions to common problems in LLM conversations.
– Prompt patterns enrich capabilities of conversational LLMs.
– Prompt patterns can be combined to create larger and more complex capabilities.
– Catalog of prompt engineering techniques for LLMs
– Patterns to improve LLM conversation outputs and interactions
– Prompt patterns enrich capabilities of conversational LLMs.
– More work needed to refine and expand prompt patterns.
– Framework for documenting prompt patterns for different domains.
– Catalog of prompt patterns to improve outputs of LLM conversations.
– Explanation of building prompts from multiple patterns.
