Software Alternatives, Accelerators & Startups

Taste VS 170+ GPT-3 Resources

Compare Taste VS 170+ GPT-3 Resources and see what are their differences

Taste logo Taste

Get movie suggestions based on personal taste.

170+ GPT-3 Resources logo 170+ GPT-3 Resources

A constantly updated GPT-3 knowledege base
  • Taste Landing page
    Landing page //
    2023-05-08
  • 170+ GPT-3 Resources Landing page
    Landing page //
    2022-10-07

Taste videos

2018 MRE Pepperoni Pizza MRE Review Meal Ready to Eat Ration Taste Testing

More videos:

  • Review - Dog Reviews Food With Girlfriend | Tucker Taste Test 12
  • Review - Dog Reviews Food With Sister | Tucker Taste Test 16

170+ GPT-3 Resources videos

No 170+ GPT-3 Resources videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to Taste and 170+ GPT-3 Resources)
Movies
100 100%
0% 0
AI
0 0%
100% 100
Movie Reviews
100 100%
0% 0
Productivity
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Taste seems to be more popular. It has been mentiond 4 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.

Taste mentions (4)

  • Letterboxd Dating App
    Try taste.io, you cannot find users, but it will suggest you movies that people with similar tastes liked. Source: almost 2 years ago
  • In-show bi- and homophobia?
    On a social website (taste.io) I read a comment complaining about ‘bi- and homophobia sprinkled throughout [Elementary]’. The site doesn’t allow to react to comments so I couldn’t ask the person, but their comment got me thinking and I would like to hear people’s opinion: Do you think the show has some problematic moments in regards to lgbt+ representation and if yes, can you provide concrete examples? Source: over 2 years ago
  • How difficult would it be to build a recommender system for TV shows at scale?
    It's John from taste.io, I think it depends on the method you want to use and where you're able to retrieve data to train the model. With a short amount of time and limited resources, you won't have the luxury of creating a collaborative filtering model....content-filtering is possible if you can also be resourceful with APIs + build crawlers. But, the results might be mediocre...meaning, the recommendations... Source: almost 3 years ago
  • How difficult would it be to build a recommender system for TV shows at scale?
    I have been asked to build a recommender system for TV shows at large scale, meaning thousands of users across the entire libraries of services like Netflix, Hulu and Amazon Prime. Something like taste.io but completely focussed on TV shows and not movies. My main concern is the complexity of this project, I have read up on recommender systems, and they seem fairly straightforward, its the scale that scares me. Source: almost 3 years ago

170+ GPT-3 Resources mentions (0)

We have not tracked any mentions of 170+ GPT-3 Resources yet. Tracking of 170+ GPT-3 Resources recommendations started around Jul 2021.

What are some alternatives?

When comparing Taste and 170+ GPT-3 Resources, you can also consider the following products

Letterboxd - Letterboxd is a social site for sharing your taste in film, now in public beta.

GPT-3 Demo - A showcase of 60+ GPT-3 resources, examples, and use cases

And Chill - andchill is a new way of enjoying movies and videos with your friends.

GPT3 Crush - Curated list of OpenAI's GPT3 demos

IMDb - Internet Movie Database

Copysmith - GPT-3 powered content marketing that feels like magic