Data Science Horizons is proud to announce our latest ebook, Prompt Engineering for ELIZA, an application of modern prompt engineering stratregies to what amount to a prehistoric rule-based chatbot.
Are we serious? We (probably) are. Or maybe we’re not.
Are you seeking to explore the comical intersections of historic AI and modern language models? Prompt Engineering for ELIZA promises a unique blend of education and entertainment that explores the fundamentals of AI and prompt engineering through the lens of ELIZA, a 1960s chatbot.
The ebook delves into a range of topics: the basics of ELIZA’s design, the differences between ELIZA and current language models like GPT-4, the art of prompt engineering, and the consequences of applying these modern techniques to ELIZA. We reveal the reality of trying to extract context from a context-free bot, along with the paradoxical profundity of ELIZA’s responses when asked to self-reflect. We also explore the concept of chain-of-thought prompting and are greeted with ELIZA’s insightful replies.
Will we be able to elicit meaningful response from ELIZA through laboriously-crafted prompts? Will modern prompt engineering tricks lead to a breakthrough in interactivity between ELIZA and her user? Will this fail spectacularly, and be exposed as a farcical undertaking?
Read on to find out.
This isn’t just another ebook on AI; it’s an exploration of applying advanced prompting techniques to an early, rule-based AI model, resulting in outcomes that highlight both the limitations of ELIZA and the sophistication of contemporary AI. Prompt Engineering for ELIZA also underscores the complexities and potential of current AI models, emphasizing the significant strides made since ELIZA’s inception and pointing towards areas of ongoing growth. Join us on this entertaining and enlightening journey into the world and history of AI!
