WebApr 7, 2024 · Prompt Engineering Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research nlp … WebarXiv.org e-Print archive
GitHub - thunlp/PromptPapers: Must-read papers on prompt-based tuni…
Web2 days ago · ChatGPT提示词大全. Contribute to bytechina/prompt-guide development by creating an account on GitHub. Web2 days ago · Auto-GPT is an open-source Python application that was posted on GitHub on March 30, 2024, by a developer called Significant Gravitas. Using GPT-4 as its basis, the application allows the AI to... mckeesport renzie park summer concerts
Cofshine/JARVIS-HuggingGPT - Github
WebIn this repository, you will find a variety of prompts that can be used with ChatGPT. We encourage you to add your own prompts to the list, and to use ChatGPT to generate new prompts as well. To get started, simply clone this repository and use the prompts in the README.md file as input for ChatGPT. WebThis workshop pays more attention to their limitations of existing notions on Compositionality, Prompts, and Causality.In the sense of visual language reasoning, compositionality demonstrates how human represents and organizes visual events for reasoning better; prompt-based methods build a cross-modal bridge to leverage a large … This is a paper list about prompt-based tuning for large-scale pre-trained language models. Different from traditional fine-tuning that uses an explicit classifier, prompt-based tuning directly uses the pre-trained models to conduct the pre-training tasks for classification or regression. See more This section contains the papers that overview the general trends in recent natural language processing with big (pretrained) models. 1. OpenPrompt: An Open-source Framework for Prompt-learning. Preprint.Ning … See more This section contains the analysis of prompt learning methods, including but not limited to why does prompt learning work, various … See more This section contains the pilot works that might contributes to the prevalence of prompt learning paradigm. 1. Parameter-Efficient Transfer … See more This section contains the exploration on the basic aspects of prompt tuning, such astemplate, verbalizer, training paradigms, etc. 1. Exploiting … See more mckeesport senior center