The rise of arge language models (LLMs) such as ChatGPT, Llama 2 and other large language models (LLMs) has revolutionized the field of natural language processing, enabling a wide range of applications from text generation to sentiment analysis. However, the effectiveness of these models is highly dependent on the quality of the input prompts. Prompt engineering and optimization stands out as a critical area of research, aiming to refine and tailor prompts to elicit the most accurate and relevant responses from the model.
This seminar gives an introduction to prompt engineering, exploring different prompt engineering techniques.