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genei.io VS Apple Machine Learning Journal

Compare genei.io VS Apple Machine Learning Journal and see what are their differences

genei.io logo genei.io

AI-generated summaries for any article or research paper.

Apple Machine Learning Journal logo Apple Machine Learning Journal

A blog written by Apple engineers
  • genei.io Landing page
    Landing page //
    2023-04-30

genei is an AI-powered research and note-taking tool that analyses web-pages, documents, and PDF files, enabling users to work with more efficiency and clarity.

  • Apple Machine Learning Journal Landing page
    Landing page //
    2022-12-13

genei.io videos

Introduction to genei | 2021

Apple Machine Learning Journal videos

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Category Popularity

0-100% (relative to genei.io and Apple Machine Learning Journal)
Productivity
100 100%
0% 0
AI
49 49%
51% 51
Education
100 100%
0% 0
Developer Tools
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare genei.io and Apple Machine Learning Journal

genei.io Reviews

11 Best Notepad.pw Alternatives To Use
Genei is a web application built around an intelligent interactive document library and viewer. It has three built-in AI features. Entity / Keyword extraction and definition 2. Searches that are semantically and query-based across multiple articles and their content. Summary of sections in an article
Source: notepad.link

Apple Machine Learning Journal Reviews

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Social recommendations and mentions

Based on our record, Apple Machine Learning Journal should be more popular than genei.io. It has been mentiond 6 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

genei.io mentions (1)

  • Looking for feedback on making a literature review template more ADHD-friendly.
    Your suggestions makes me think of genei.io though (AI-powered research article summaries), maybe worth checking out. I paid for it when I was writing my honours thesis but it's way too $$ for me as a regular tool. Source: about 2 years ago

Apple Machine Learning Journal mentions (6)

  • Does anyone else suspect that the official iOS ChatGPT app might be conducting some local inference / edge-computing? [Discussion]
    For your reference, Apple's pages for Machine Learning for Developers and for their research. The Apple Neural Engine was custom designed to work better with their proprietary machine learning programs -- and they've been opening up access to developers by extending support / compatibility for TensorFlow and PyTorch. They've also got CoreML, CreateML, and various APIs they are making to allow more use of their... Source: about 1 year ago
  • Which papers should I implement or which Projects should I do to get an entry level job as a Computer vision engineer at MAANG ?
    We even host annual poster sessions of those PhD intern’s work while at our company, and it’ll give you an idea of the caliber of work. It may not be as great as Nvidia, Stryker, Waymo, or Tesla (which are not part of MAANG but I believe are far more ahead in CV), but it’s worth of considering. Source: about 1 year ago
  • Apple’s secrecy created engineer burnout
    They have something for ML: https://machinelearning.apple.com. - Source: Hacker News / about 2 years ago
  • [D] Is anyone working on open-sourcing Dall-E 2?
    They're more subtle about it, I think. https://machinelearning.apple.com/ Some of the papers are pretty good. I don't disagree with your sentiment in aggregate, though. Source: about 2 years ago
  • How does Apple achieve both secrecy and quality for a release?
    Siri is not where it needs to be because Apple refuses to mine user data to enrich it. They also are very hesitant to allow researchers to publish their breakthroughs which makes recruitment very hard. Although this is changing https://machinelearning.apple.com/. - Source: Hacker News / about 2 years ago
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What are some alternatives?

When comparing genei.io and Apple Machine Learning Journal, you can also consider the following products

RadaeePDF - RadaeePDF is a library for developers who want to render, manipulate, annotate PDF files on Android, iOS and Windows.

Amazon Machine Learning - Machine learning made easy for developers of any skill level

KDAN Mobile PDF Reader - PDF Reader is the one app you can rely on when you need a portable solution to work with PDFs.

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

TLDR This - Automatically summarize any article or webpage in a click.

Lobe - Visual tool for building custom deep learning models