Prodigy Reviews

Spotify Reviews

1. ch-hammad

   | Content Writer at Spotimax | 14 days ago
   Spotify: The Ultimate Music and Podcast Streaming Experience

   Spotify offers an exceptional music streaming experience with its vast library and user-friendly interface. The personalized playlists and recommendations are spot on, introducing me to new artists and tracks I love. With the premium subscription, I enjoy ad-free listening, high-quality audio, and offline access to my favorite songs. Additionally, Spotify’s extensive collection of podcasts and original storylines keeps me entertained and informed on a variety of topics. Whether I'm working out, relaxing, or on the go, Spotify has the perfect soundtrack and engaging podcasts for every moment.

   🏁 Competitors: Apple Music, Amazon Music, Deezer, TIDAL, YouTube Music, SoundCloud

   👍 Pros:    Discover new music and podcasts effortlessly with spotify's amazing personalized recommendations and curated playlists tailored just for you.|Seamlessly switch between devices and continue listening right where you left off, making your music experience uninterrupted and convenient.

   👎 Cons:    Limited offline song availability without a premium subscription.
2. FaizaAdeel

   | Owner at Peacock.collection11 | 8 months ago
   Enjoyable Music Experience

   Spotify stands out as a top-tier music streaming service with its vast library, user-friendly interface, and personalized playlists. Despite minor drawbacks, such as audio quality variance and download limitations, it remains a go-to platform for music enthusiasts.

   🏁 Competitors: SoundCloud

   👍 Pros:    Extensive music library|User friendly interface|Personalized playlists|Cross-platform sync

   👎 Cons:    Audio quality variation for lower tired subscription pla|Limited offline downloads
3. LPS

   almost 2 years ago
   My favourite feature is the Listen Along and Weekly Playlist!

   It's extremely fun to listen along to a friend or random people, find new songs. I really like spotify's algorithm and how it comes up with new weekly playlists. I always love those (most of the time XD)

Prodigy mentions (25)

• Launch HN: Encord (YC W21) – Unit testing for computer vision models

  This is really cool. The annotation-to-testing-to-annotation-etc. Feedback loop makes a ton of sense, and I'd encourage others who may be confused on this post to look at the Automotus case study https://encord.com/customers/automotus-customer-story/ for the annotation side, but my understanding is the relationship between model outputs and annotation steering is out of scope for that project - do you know of... - Source: Hacker News / 5 months ago

• Against LLM Maximalism

  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 / 10 months ago

• Remote Work 2.0: The Tools, Trends, and Challenges of the Post-Pandemic Work Era

  Prodigy AI - Offers software engineers career coaching, skill assessment, and job matching. Visit Prodigy AI. - Source: dev.to / 11 months ago

• [D] A model to extract relevant information from a Sample Ballot.

  I essentially want to use a Combo of OCR + NER to attempt to identify this, but I'm not sure NER is well suited for this, as it is not natural language, so there is little context to go off of. I was thinking of perhaps using Prodigy, a data annotation tool, to annotate Candidate Names, Races, etc, and perhaps it will be able to learn off of image data alone wheat these fields tend to look like. Source: about 1 year ago

• Sampling leaves from a tree

  I come from a similar application area, where I try to tag (annotation/label) a taxonomy of products iteratively. You are trying something slightly different, AFAIU, labeling a flat set of songs, each song with a set of tags from ontology (directed graph)From an application point of view, this is what taxonomists often do, when migrating products from one catalog to another: mapping one taxonomy to another. There... Source: over 1 year ago

Spotify mentions (0)