prompting

Prompt Engineering | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research

[ICLR 2023] ReAct: Synergizing Reasoning and Acting in Language Models

Document level Attitude and Relation Extraction toolkit (AREkit) for sampling mass-media news into datasets for your ML-model training, further prompting, and evaluation

Source code for Dialogue State Tracking with a Language Modelusing Schema-Driven Prompting

**Interspeech 2022** 《SpeechPrompt: An Exploration of Prompt Tuning on Generative Spoken Language Model for Speech Processing Tasks》Speech processing with prompting paradigm

Web SDK for Promptable Website.

A set of utilities for running few-shot prompting experiments on large-language models

Finding semantically meaningful and accurate prompts

A collection of ChatGPT and GPT-3.5 instruction-based prompts for generating and classifying text.

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.

Offical code of the paper Large Language Models Are Implicitly Topic Models: Explaining and Finding Good Demonstrations for In-Context Learning.

About, prompt-based few-shot learning, Text Generation with Prompting

Prompt Engineering for Language models and text-to-image models

This is the offical repo for the paper "PARL: A Dialog System Framework with Prompts as Actions for Reinforcement Learning" at ICAART 2023.

Using CLIP for zero-shot learning and image classification with text & visual prompting.

generating template content such as about us, news article, content title, product description and etc. using pretrained Language Model GPT-3

Prompts Methods to find the vulnerabilities in Generative Models