Wikipedia and Llama 3 70B
Hey everyone! I built a little app for exploring Wikipedia. https://atlaslib.com/wikipedia You can tap on a suggestion or ask anything. Why? Wikipedia is awesome but search on Wikipedia unfortunately is not. I often use Google to search Wikipedia but I wondered if there is a more direct way. Some of the huge Wikipedia articles (e.g. animals, biology, history, health, science) are thorough but a bit dry. A language model like llama 3 70b helps with both: discovery and with making a dry topic more approachable. behind the scenes: - client: 150 lines vanilla javascript, tailwind…
What it does
In the maker’s words, at launch
Hey everyone! I built a little app for exploring Wikipedia. https://atlaslib.com/wikipedia You can tap on a suggestion or ask anything. Why? Wikipedia is awesome but search on Wikipedia unfortunately is not. I often use Google to search Wikipedia but I wondered if there is a more direct way. Some of the huge Wikipedia articles (e.g. animals, biology, history, health, science) are thorough but a bit dry. A language model like llama 3 70b helps with both: discovery and with making a dry topic more approachable. behind the scenes: - client: 150 lines vanilla javascript, tailwind for ui - server: flask on fly.io (shared-1x-cpu@256MB) - inference: llama 3 70b at 300+ tokens/s via groq I've set it as my new default page to load when I open a new browser tab. video (in real-time): https://x.com/__tosh/status/1793699299756228976 I also applied with it for the upcoming YC batch but it is a bit of a last minute pivot from an earlier idea. Curious what you think and how I could make it better!
Does the same job
all alternatives →- ETEasy to use Wikipedia API for Python2013 · github.com · ▲218
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