Prompt engineering is the process of designing and refining prompts to improve the performance of language models like ChatGPT. It involves carefully crafting text prompts to elicit the desired response from the model.
Prompt engineering is useful because it allows us to fine-tune language models to specific tasks, making them more effective at generating high-quality responses. By designing prompts that encourage the model to focus on the relevant information and avoid irrelevant details, we can improve the accuracy and relevance of the model’s output. This is particularly important in applications where the model’s output is critical, such as in medical diagnosis or financial analysis.
Given the following git commit messages create dev testing notes, do not reference the commits themselves, explain what should be tested when [feature name goes here]
Write an insightful but concise Git commit message in a complete sentence in imperative present tense for the following diff without prefacing it with anything:
git diff goes here
Topic: [Blog Topic] For the above topic, use future prompts to write for a technical audience for a blog post and give consise explainations for code. Optimize the post for medium and google seo. Ensure this content is original. Respond with ‘confirm’ to acknowledge that you understand the prompt.