
Yachay
Geotagging Texts Made Simpler
What it does
Yachay's open-source machine learning models allow developers to find the coordinates of texts. Our models are 100% open to the public, because we believe that "sharing is caring." We're looking for feedback, comments, and more.
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- OSOpen-source text-to-geolocation models2022 · github.com · ▲46
Yachay is an open-source community that works with the most accurate text-to-geolocation models on the market right now
- WSWeb search using a ChatGPT-like model that can cite its sources2022 · beta.sayhello.so · ▲318
We’ve trained a generative AI model to browse the web and answer questions/retrieve code snippets directly. Unlike ChatGPT, it has access to primary sources and is able to cite them when you hover over an answer (click on the text to go to the source being cited). We also show regular Bing results side-by-side with our AI answer. The model is an 11-billion parameter T5-derivative that has been fine-tuned on feedback given on hundreds of thousands of searches done (anonymously) on our platform. Giving the model web access lessens its burden to need to store a snapshot of human knowledge…


- GCGis.chat – a Geospatial Community2023 · gis.chat · ▲86
Hi folks! I'm excited to show you gis.chat, a geospatial chat platform in both senses: a platform about geospatial topics and a geospatial platform itself, referencing the location of our communities. The setup is fairly simple and reproducible: a plain Zulip instance and a homepage with geospatial search capabilities. It seems almost trivial but it has some very nice features. I guess you should be familiar with Zulips stream/topic model to follow along (https://zulip.com/help/streams-and-topics). The core idea is that there are city-specific streams (currently…
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