Prompt engineering is an emerging discipline that holds significant importance in the field of language models. It involves the development and optimization of prompts to effectively utilize language models for a diverse range of applications and research areas. By understanding the capabilities and limitations of large language models, prompt engineering skills enable researchers and developers to enhance the performance of these models on various tasks, including question answering and arithmetic reasoning.
Developers leverage prompt engineering to create robust and efficient prompting techniques that interface seamlessly with language models and other tools. It is not merely about designing prompts; rather, it encompasses a broad spectrum of skills and techniques that facilitate interaction and development with language models. This discipline is crucial for building an understanding of the capabilities of language models and for interfacing with them effectively.
Moreover, prompt engineering can be employed to improve the safety of language models and to develop new functionalities, such as integrating domain knowledge and external tools. The high interest in working with language models has led to the creation of this comprehensive prompt engineering guide, which compiles the latest research papers, advanced prompting techniques, learning resources, model-specific guidelines, lectures, references, new language model capabilities, and relevant tools.
In addition to the wealth of information provided in the guide, there are also exciting opportunities for learning. Two new prompt engineering courses have been launched, accessible through the DAIR.AI Academy. Join now to take advantage of these courses and enhance your prompt engineering skills. Don't forget to use the code PROMPTING20 to receive an additional 20% off, but hurry as the discount is limited to the first 500 students.
