Attended the @frevana_ai launch at Stanford earlier today. Played around a bit using the free credits and built this POC in about 20 mins and just a few prompts.
A little kitchen companion for home cooks that imports recipes, tracks my pantry and generates shopping lists.
Graduate students Rushabh Musthyala, Abhishek Narayanan, Anirudh Nistala, and Professor Annase Bari (@BariAnasse) won best presentation award at the 9th International Conference on Big Data Analytics held in Tokyo, Japan last week!
I entered the Harry Potter and the Cursed Child - House Pride Performances Lottery for $40 tickets on @TodayTix! Tap here to enter: https://t.co/g2mhXlylqH
In our thankful era seeing your faces at #TSErasTheExperience in New York City! Swifties sure know how to throw a house-party for our #ArtistOfTheYear. Which room are you claiming? 🏠💘 @applemusic https://t.co/ORthTD6wiv
Just found an extra Midnights (Late Night Edition) CD from the Metlife shows……figured we could giveaway to one of you. Repost/retweet and we will pick someone later today (8pm EST) 🫶
How has Taylor Swift's music changed over time? I pulled features about all her songs from Spotify web API. I got the lyrics from Genius and performed basic NLP on them to extract some features. I then averaged them album wise and plotted them chronologically. #Spotify#genius
Most of her songs are upbeat, with Speak Now being the fastest on average and Red being the slowest. In terms of sentiment, Lover was her most positive, in contrast to reputation. It's no surprise that vocab diversity peaked with her pandemic albums