Join us to explore the LangGPT framework, a novel approach to creating structured, reusable prompts for large language models (LLMs). Learn how LangGPT merges standardization with flexibility in prompt engineering, inspired by programming language designs. This discussion will shed light on making prompt creation systematic and accessible, facilitating collaboration among researchers and practitioners to harness LLMs' potential in various fields.
👋 Quick Welcome (5 mins) - Kicking off the session with a warm greeting and what to expect.
🧑💼 Brief Introduction from Participants (1 min each) - Participants share their name, location, occupation, and one expectation from the call.
🤖 Overview of Summarization as a Theme for the Session (5 mins) - Diving into why we're focusing on prompt engineering and the challenges within that space.
📄 Overview of the Papers Discussed (5 mins) - Quick summary of the key papers we'll be exploring:
📑 Paper 1: "LangGPT: Rethinking Structured Reusable Prompt Design Framework for LLMs from the Programming Language"
https://arxiv.org/pdf/2402.16929.pdf
🔄 Bonus Reading: "Emotional Manipulation Through Prompt Engineering Amplifies Disinformation Generation in AI Large Language Models"
https://arxiv.org/pdf/2403.03550.pdf
🗣️ Introduction by the Community Agent (5 mins) - A brief introduction to the session by the AI agent, setting the stage for the discussions.
❓ Q&A from Research Agent (15 mins) - An interactive Q&A session, with questions prepared by the AI agent to stimulate discussion and deepen understanding.
🎉 After-party (15 mins) - An informal chat to relax, network, and discuss AI, life, and everything in between.
