Interactive Jupyter Notebook Environment for using the GPT-3 Instruct API

Last update: Jan 03, 2023

Related tags

Overview

gpt3-instruct-sandbox

Interactive Jupyter Notebook Environment for using the GPT-3 Instruct API

Description

This project updates an existing GPT-3 sandbox project (https://github.com/shreyashankar/gpt3-sandbox) to interact with OpenAI's Instruct API (still in beta, join waitlist at https://share.hsforms.com/1Lfc7WtPLRk2ppXhPjcYY-A4sk30).

Example includes Interactive UI using IPython Widgets to input prompt to GPT-3 and then run SQL code (using sqalchemy) in one place.

Article describing GPT-3 Instruct usage is located at: https://blog.seekwell.io/gpt3.

Owner

GitHub Repository

A high-level Python library for Quantum Natural Language Processing

lambeq About lambeq is a toolkit for quantum natural language processing (QNLP). Documentation: https://cqcl.github.io/lambeq/ Getting started Prerequ

315 Jan 01, 2023

The model is designed to train a single and large neural network in order to predict correct translation by reading the given sentence.

Neural Machine Translation communication system The model is basically direct to convert one source language to another targeted language using encode

7 Sep 22, 2022

Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS)

TOPSIS implementation in Python Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) CHING-LAI Hwang and Yoon introduced TOPSIS

8 Dec 10, 2022

An implementation of WaveNet with fast generation

pytorch-wavenet This is an implementation of the WaveNet architecture, as described in the original paper. Features Automatic creation of a dataset (t

858 Dec 27, 2022

A simple implementation of N-gram language model.

About A simple implementation of N-gram language model. Requirements numpy Data preparation Corpus Training data for the N-gram model, a text file lik

4 Nov 24, 2021

IMS-Toucan is a toolkit to train state-of-the-art Speech Synthesis models

IMS-Toucan is a toolkit to train state-of-the-art Speech Synthesis models. Everything is pure Python and PyTorch based to keep it as simple and beginner-friendly, yet powerful as possible.

247 Jan 05, 2023

The guide to tackle with the Text Summarization

1.2k Dec 30, 2022

Converts python code into c++ by using OpenAI CODEX.

🦾 codex_py2cpp 🤖 OpenAI Codex Python to C++ Code Generator Your Python Code is too slow? 🐌 You want to speed it up but forgot how to code in C++? ⌨

423 Jan 01, 2023

Shared, streaming Python dict

UltraDict Sychronized, streaming Python dictionary that uses shared memory as a backend Warning: This is an early hack. There are only few unit tests

192 Dec 23, 2022

Yet another Python binding for fastText

pyfasttext Warning! pyfasttext is no longer maintained: use the official Python binding from the fastText repository: https://github.com/facebookresea

230 Nov 16, 2022

InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective

InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective This is the official code base for our ICLR 2021 paper

71 Nov 25, 2022

Beyond the Imitation Game collaborative benchmark for enormous language models

BIG-bench 🪑 The Beyond the Imitation Game Benchmark (BIG-bench) will be a collaborative benchmark intended to probe large language models, and extrap

1.3k Jan 01, 2023

Official Stanford NLP Python Library for Many Human Languages

6.4k Jan 02, 2023

Negative sampling for solving the unlabeled entity problem in NER. ICLR-2021 paper: Empirical Analysis of Unlabeled Entity Problem in Named Entity Recognition.

Negative Sampling for NER Unlabeled entity problem is prevalent in many NER scenarios (e.g., weakly supervised NER). Our paper in ICLR-2021 proposes u

128 Dec 29, 2022

Interactive Jupyter Notebook Environment for using the GPT-3 Instruct API

Related tags

Overview

gpt3-instruct-sandbox

Description

Owner

A high-level Python library for Quantum Natural Language Processing

The model is designed to train a single and large neural network in order to predict correct translation by reading the given sentence.

Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS)

An implementation of WaveNet with fast generation

A simple implementation of N-gram language model.

IMS-Toucan is a toolkit to train state-of-the-art Speech Synthesis models

The guide to tackle with the Text Summarization

Converts python code into c++ by using OpenAI CODEX.

Shared, streaming Python dict

Yet another Python binding for fastText

InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective

Beyond the Imitation Game collaborative benchmark for enormous language models

Official Stanford NLP Python Library for Many Human Languages

Negative sampling for solving the unlabeled entity problem in NER. ICLR-2021 paper: Empirical Analysis of Unlabeled Entity Problem in Named Entity Recognition.

A collection of Korean Text Datasets ready to use using Tensorflow-Datasets.

The entmax mapping and its loss, a family of sparse softmax alternatives.

NLPShala , the best IDE for all Natural language processing tasks.

Search with BERT vectors in Solr and Elasticsearch

Unofficial PyTorch implementation of Google AI's VoiceFilter system

Topic Modelling for Humans