promptsource
spaCy
promptsource | spaCy | |
---|---|---|
11 | 106 | |
2,505 | 28,751 | |
2.2% | 0.6% | |
4.6 | 9.2 | |
6 months ago | 4 days ago | |
Python | Python | |
Apache License 2.0 | MIT License |
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promptsource
- How to Prompt Design? Share resources
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Any tips for hiring prompt engineers?
Bigscience Promptsource
- PromptSource: Toolkit for creating, sharing and using natural language prompts
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Hugging Face Introduces “T0”, An Encoder-Decoder Model That Consumes Textual Inputs And Produces Target Responses
Quick 5 Min Read | Paper|Github
- 16x smaller than GPT3 but better [video]
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[R] BigScience's first paper, T0: Multitask Prompted Training Enables Zero-Shot Task Generalization
Code for https://arxiv.org/abs/2110.08207 found: https://github.com/bigscience-workshop/promptsource/
- "P3: Public Pool of Prompts" (BigScience's collaborative collection of >2k prompts for >170 datasets)
- BigScience's guide to using templating languages to develop prompts
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word2vec chatbot
I'd use a prompted dataset then, as well as explore the TO model framework.
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First model released by BigScience outperforms GPT-3 while being 16x smaller
We fine-tuned the model on a dozens of different NLP datasets and tasks in a prompted style. You can read all the prompts in the appendix or get them all here: https://github.com/bigscience-workshop/promptsource . Most NLP tasks are not particularly freeform, or they are naturally length limited like summary (XSum is very short). As a consequence, the model mostly defaults to short responses. Your "trick" is not that unreasonable though! Many of the training prompts that want long responses, ask for them explicitly.
spaCy
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Step by step guide to create customized chatbot by using spaCy (Python NLP library)
Hi Community, In this article, I will demonstrate below steps to create your own chatbot by using spaCy (spaCy is an open-source software library for advanced natural language processing, written in the programming languages Python and Cython):
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Best AI SEO Tools for NLP Content Optimization
SpaCy: An open-source library providing tools for advanced NLP tasks like tokenization, entity recognition, and part-of-speech tagging.
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Who has the best documentation you’ve seen or like in 2023
spaCy https://spacy.io/
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A beginner’s guide to sentiment analysis using OceanBase and spaCy
In this article, I'm going to walk through a sentiment analysis project from start to finish, using open-source Amazon product reviews. However, using the same approach, you can easily implement mass sentiment analysis on your own products. We'll explore an approach to sentiment analysis with one of the most popular Python NLP packages: spaCy.
- Retrieval Augmented Generation (RAG): How To Get AI Models Learn Your Data & Give You Answers
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Against LLM Maximalism
Spacy [0] is a state-of-art / easy-to-use NLP library from the pre-LLM era. This post is the Spacy founder's thoughts on how to integrate LLMs with the kind of problems that "traditional" NLP is used for right now. It's an advertisement for Prodigy [1], their paid tool for using LLMs to assist data labeling. That said, I think I largely agree with the premise, and it's worth reading the entire post.
The steps described in "LLM pragmatism" are basically what I see my data science friends doing — it's hard to justify the cost (money and latency) in using LLMs directly for all tasks, and even if you want to you'll need a baseline model to compare against, so why not use LLMs for dataset creation or augmentation in order to train a classic supervised model?
[0] https://spacy.io/
[1] https://prodi.gy/
- Swirl: An open-source search engine with LLMs and ChatGPT to provide all the answers you need 🌌
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How to predict this sequence?
spaCy
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What do you all think about (setq sentence-end-double-space nil)?
I chose spacy. Although it's not state of the art, it's very well established and stable.
- spaCy: Industrial-Strength Natural Language Processing
What are some alternatives?
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
TextBlob - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
eai-prompt-gallery - Library of interesting prompt generations
Stanza - Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
natural-instructions - Expanding natural instructions
NLTK - NLTK Source
datasets - 🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
BERT-NER - Pytorch-Named-Entity-Recognition-with-BERT
rasa - 💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
polyglot - Multilingual text (NLP) processing toolkit
textacy - NLP, before and after spaCy
Jieba - 结巴中文分词