Open AI's work is based off of Google's research paper. Google believes in open source! https://opensource.google/ Google will save us. Google will make their AI open source. Their motto is "Don't be evil"! ... But I'm still waiting for their source code of YouTube, Gmail, drive, maps, docs, sheets, forms, search, ads, translate, sites, etc. Source: about 1 year ago

It's not on google github/their open source git host(for comparison, the canonical go repo is), their readme makes no mention of google, wikipedia says "The language is expected to have a 1.0 release in 2024 or 2025.[4]",. Source: over 1 year ago

Google would have to open source the controller firmware for people to find a way to make Bluetooth work, but there are no discontinued Google products on opensource.google at all. Source: over 1 year ago

Https://opensource.google/ is not listing any dead Google products my dude. Source: over 1 year ago

And side note, don't bring up both MS and Google when both are well known to make use of FOSS. Google has an entire page about how they both make use of and release OSS. Source: almost 2 years ago

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):. - Source: dev.to / 2 months ago

SpaCy: An open-source library providing tools for advanced NLP tasks like tokenization, entity recognition, and part-of-speech tagging. Source: 6 months ago

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. - Source: dev.to / 8 months ago

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... - Source: Hacker News / 9 months ago

I chose spacy. Although it's not state of the art, it's very well established and stable. Source: 11 months ago