From 78e4fd599965ff5045ecbe6feb001ec928ed6fdc Mon Sep 17 00:00:00 2001 From: Elvis Saravia Date: Sat, 25 Feb 2023 03:56:43 -0600 Subject: [PATCH] fixed guide --- README.md | 4 ++++ guides/prompt-miscellaneous.md | 2 +- 2 files changed, 5 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index bfd207e..d6d5a32 100644 --- a/README.md +++ b/README.md @@ -98,7 +98,9 @@ The following are the latest papers (sorted by release date) on prompt engineeri - [Decomposed Prompting: A Modular Approach for Solving Complex Tasks](https://arxiv.org/abs/2210.02406) (Oct 2022) - [Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought](https://arxiv.org/abs/2210.01240v3) (Oct 2022) - [Evaluating the Susceptibility of Pre-Trained Language Models via Handcrafted Adversarial Examples](https://arxiv.org/abs/2209.02128) (Sep 2022) + - [Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning](https://arxiv.org/abs/2209.14610) (Sep 2022) - [Promptagator: Few-shot Dense Retrieval From 8 Examples](https://arxiv.org/abs/2209.11755) (Sep 2022) + - [DocPrompting: Generating Code by Retrieving the Docs](https://arxiv.org/abs/2207.05987) (July 2022) - [On the Advance of Making Language Models Better Reasoners](https://arxiv.org/abs/2206.02336) (June 2022) - [Large Language Models are Zero-Shot Reasoners](https://arxiv.org/abs/2205.11916) (May 2022) - [MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning](https://arxiv.org/abs/2205.00445) (May 2022) @@ -131,6 +133,7 @@ The following are the latest papers (sorted by release date) on prompt engineeri - [How Generative AI models such as ChatGPT can be (Mis)Used in SPC Practice, Education, and Research? An Exploratory Study](https://arxiv.org/abs/2302.10916) (Feb 2023) - [Grimm in Wonderland: Prompt Engineering with Midjourney to Illustrate Fairytales](https://arxiv.org/abs/2302.08961) (Feb 2023) - [LabelPrompt: Effective Prompt-based Learning for Relation Classification](https://arxiv.org/abs/2302.08068) (Feb 2023) + - [Language Model Crossover: Variation through Few-Shot Prompting](https://arxiv.org/abs/2302.09236) (Feb 2023) - [Prompt Tuning of Deep Neural Networks for Speaker-adaptive Visual Speech Recognition](https://arxiv.org/abs/2302.08102) (Feb 2023) - [The Capacity for Moral Self-Correction in Large Language Models](https://arxiv.org/abs/2302.07459) (Feb 2023) - [Prompting for Multimodal Hateful Meme Classification](https://arxiv.org/abs/2302.04156) (Feb 2023) @@ -272,6 +275,7 @@ The following are the latest papers (sorted by release date) on prompt engineeri - [The Book - Fed Honeypot](https://fedhoneypot.notion.site/25fdbdb69e9e44c6877d79e18336fe05?v=1d2bf4143680451986fd2836a04afbf4) - [The ChatGPT Prompt Book](https://docs.google.com/presentation/d/17b_ocq-GL5lhV_bYSShzUgxL02mtWDoiw9xEroJ5m3Q/edit#slide=id.gc6f83aa91_0_79) - [The Mirror of Language](https://deepfates.com/the-mirror-of-language) +- [Unleash Your Creativity with Generative AI: Learn How to Build Innovative Products!](https://youtube.com/watch?v=jqTkMpziGBU&feature=shares) - [Using GPT-Eliezer against ChatGPT Jailbreaking](https://www.alignmentforum.org/posts/pNcFYZnPdXyL2RfgA/using-gpt-eliezer-against-chatgpt-jailbreaking) - [What Is ChatGPT Doing … and Why Does It Work?](https://writings.stephenwolfram.com/2023/02/what-is-chatgpt-doing-and-why-does-it-work/) diff --git a/guides/prompt-miscellaneous.md b/guides/prompt-miscellaneous.md index 26c688a..2a90cf5 100644 --- a/guides/prompt-miscellaneous.md +++ b/guides/prompt-miscellaneous.md @@ -5,7 +5,7 @@ In this section, we discuss other miscellaneous and uncategorized topics in prom **Note that this section is under heavy construction.** Topic: -- [Active Prompt] +- [Active Prompt](#active-prompt) - [Directional Stimulus Prompting](#directional-stimulus-prompting) - [Program-Aided Language Models](#program-aided-language-models) - [ReAct](#react)