NLP Flashcards for Most of the Internet
Hello HN! We're Sam and Kanyes. We're building an extension to help you remember what you read online. We're calling it Ferret [1]. When you open Ferret on an HTML page, it generates recall-based questions + answers to reinforce key concepts with NLP. Consider the following toy example where we open Ferret on an explanation of Bayesian statistics. [2] Q: What does the frequentist interpretation view probability as? A: the limit of the relative frequency of an event after many trials Q: What is often computed in Bayesian statistics using mathematical optimization methods? A:The maximum a…
What it does
In the maker’s words, at launch
Hello HN! We're Sam and Kanyes. We're building an extension to help you remember what you read online. We're calling it Ferret [1]. When you open Ferret on an HTML page, it generates recall-based questions + answers to reinforce key concepts with NLP. Consider the following toy example where we open Ferret on an explanation of Bayesian statistics. [2] Q: What does the frequentist interpretation view probability as? A: the limit of the relative frequency of an event after many trials Q: What is often computed in Bayesian statistics using mathematical optimization methods? A:The maximum a posteriori We do this by (1) Parsing the DOM tree of an HTML page for <p> tags on the client, and segmenting these into preprocessed chunks (2) Performing inference on question-generation with a T5-base model pretrained on SQuAD (3) Extractive question-answering with the chunk & question we've generated with RoBERTa, also pretrained on SQuAD. No GPT-3 here— where's the fun in an API call when you can do it yourself. Ferret is built as a React.JS app deployed as a chrome extension, with models hosted on AWS Sagemaker. Finally, why could this be helpful? Human memory is lossy. Psychologists have shown for forever that your memory can be modeled with a forgetting curve. If you don't attempt to retain knowledge, you'll likely lose it. But most of the content we read online (technical blog posts, documentation, course notes, articles) gets ingested and quickly forgotten. We're interested in low-friction approaches to helping people better remember this content , starting with fellow engineers who depend on their ability to remember key concepts to do the best job. We've open-sourced the full repo and are actively responding to PRs + issues. [3]. You can read more about the technical + product challenges we faced if that interests you as well. [4] We appreciate all feedback and suggestions! [1]https://chrome.google.com/webstore/detail/ferret/mjnmolplinickaigofdpejfgfoehnlbh [2] https://en.wikipedia.org/wiki/Bayesian_statistics [3] https://github.com/kanyesthaker/qgqa-flashcards [4] https://samgorman.notion.site/Ferret-c7508ec65df841859d1f84e518fcf21d
Does the same job
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Hey all My name is Sindre, and I am the CTO of Scrimba (YC S20). For the last 7 years, I have written all my web apps in a full-stack programming language called Imba. It compiles to JavaScript and its main goal is to make web developers more productive. I just launched a major overhaul of Imba, so I wanted to share it here on HN, in case anyone are interested in learning more about it. It is very opinionated, so some of you might not like it, but I would love to hear anyones feedback regardless. Constructive criticism appreciated! The backstory: Imba initially started in 2012 as an effort…
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Hello HN, Over the last year we've been building ente[1], a privacy-friendly, easy-to-use alternative to Google Photos. We've so far built Android[2][3], iOS[4], web[5] apps that encrypt your files and back them up in the background. You can access these across your devices, and share them with other ente users, end-to-end encrypted. You can also use our electron app[6] to maintain a local copy of your backed up files. We've built a fault-tolerant data replication layer that replicates your data to two different storage providers in the EU. We will be providing additional replicas as an…
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