Prompt Engineering
Read OriginalThis article explores the empirical science of prompt engineering, focusing on methods to steer autoregressive language models without updating their weights. It covers core concepts like zero-shot and few-shot learning, discusses the variability of techniques across models, and includes commentary on the research landscape and benchmarking challenges.
Comments
No comments yet
Be the first to share your thoughts!
Browser Extension
Get instant access to AllDevBlogs from your browser