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Prompt Engineering Conference – Artificial Intelligence
December 13, 2023 @ 2:00 pm - 6:00 pm
In the dynamic realm of AI, the manner in which we engage with generative models holds significant sway over their efficacy and the results they yield. This conference session is dedicated to unveiling a method that streamlines AI interactions: pseudocode prompting.
While natural language excels at straightforward prompts, its precision often falls short in handling more intricate or algorithmic exchanges. Enter pseudocode—a simplified, semi-formal language capable of effectively steering AI toward desired responses while adhering to specific rules.
During this session, we will explore:
– The fundamentals of pseudocode prompting and its role in enhancing reasoning performance compared to natural language prompts.
– Practical approaches and techniques for crafting and optimizing pseudocode prompts across diverse applications.
– The potential of pseudocode prompts to reduce token usage by 20-30%, resulting in cost savings and quicker responses.
– The democratization of programming through pseudocode, enabling a broader audience to specify requirements using natural-language rules or constraints.
– Demonstrations showcasing how structured pseudocode facilitates easier navigation and maintenance of complex prompts, employing scope blocks, indentation, and visual encapsulation.
– Strategies for enhancing response quality: leveraging structured templates and queries to minimize poorly-formed responses and decrease token usage.
Additionally, explore the frontier of data visualization in this session, where we merge the prowess of generative AI with the elegance of Vega-Lite in Microsoft Power BI. Witness the power of Iterative Prompt Engineering as we guide ChatGPT to craft intricate visuals from raw data. Delve into this innovative technique and discover a novel way to tell compelling data stories. Join us for a transformative look at the future of AI-driven data visualization.
This session promises to equip attendees with fresh perspectives and practical strategies for a more efficient AI prompting experience and a forward-thinking approach to data visualization.