There are 14 repositories under prompting topic.
[NeurIPS 2023] Tree of Thoughts: Deliberate Problem Solving with Large Language Models
Prompt Engineering, Generative AI, and LLM Guide by Learn Prompting | Join our discord for the largest Prompt Engineering learning community
Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research
Official Implementation of "Graph of Thoughts: Solving Elaborate Problems with Large Language Models"
The Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework Join our Community: https://discord.com/servers/agora-999382051935506503
[ECCV 2024 Oral] DriveLM: Driving with Graph Visual Question Answering
Streamlines and simplifies prompt design for both developers and non-technical users with a low code approach.
Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models
LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.
Advanced Code and Text Manipulation Prompts for Various LLMs. Suitable for Siri, GPT-4o, Claude, Llama3, Gemini, and other high-performance open-source LLMs.
A collection of ChatGPT and GPT-3.5 instruction-based prompts for generating and classifying text.
[ACL 2024] An Easy-to-use Instruction Processing Framework for LLMs.
Repo for paper "Unleashing Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration"
Official implementation of paper "Cumulative Reasoning With Large Language Models" (https://arxiv.org/abs/2308.04371)
An extension to AUTOMATIC1111 WebUI for stable diffusion which adds a prompt generator
Must-read Papers on Large Language Model (LLM) as Optimizers and Automatic Optimization for Prompting LLMs.
parrot.nvim 🦜 - the plugin that brings stochastic parrots to Neovim. This is a gp.nvim-fork focused on simplicity.
A set of utilities for running few-shot prompting experiments on large-language models
**Interspeech 2022** 《SpeechPrompt: An Exploration of Prompt Tuning on Generative Spoken Language Model for Speech Processing Tasks》Speech processing with prompting paradigm
Mixing Language Models with Self-Verification and Meta-Verification
[NeurIPS 2023 Main Track] This is the repository for the paper titled "Don’t Stop Pretraining? Make Prompt-based Fine-tuning Powerful Learner"
Offical code of the paper Large Language Models Are Implicitly Topic Models: Explaining and Finding Good Demonstrations for In-Context Learning.
Source code for Dialogue State Tracking with a Language Model using Schema-Driven Prompting
Official implementation of paper "Meta Prompting for AI Systems" (https://arxiv.org/abs/2311.11482)
This is a practical guide on how to optimize ChatGPT prompts for programming. Here, I aimed to provide tips and techniques to help developers optimize their chatgpt prompts to avoid common problems and improve their code generation experience. .
Открытая база знаний о нейросетях
MACM: Utilizing a Multi-Agent System for Condition Mining in Solving Complex Mathematical Problems
Document level Attitude and Relation Extraction toolkit (AREkit) for sampling and processing large text collections with ML and for ML
A system for prompted weak supervision.
A prompt injection game to collect data for robust ML research
Web SDK for Promptable Website.
Prompt Engineering for Language models (GPT-3, GPT-4, chatGPT) and text-to-image models (Stable Diffusion, Midjourney, Dall-e)
SMASHED is a toolkit designed to apply transformations to samples in datasets, such as fields extraction, tokenization, prompting, batching, and more. Supports datasets from Huggingface, torchdata iterables, or simple lists of dictionaries.