Design Patterns in Prompt Engineering: A Practical Approach
Co-written with Gad BenramThe sophistication of large language models, like Google's PaLM-2, has redefined the landscape of natural language processing (NLP). These models' ability to generate human-like text has opened up a vast array of applications, including virtual assistants, content generation, and more. To truly leverage these models' potential, an efficient approach is needed: Prompt Engineering. This blog post aims to elucidate key design patterns in prompt engineering, complete with r| TensorOps
