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Github Druce Reddit Prettiest Songs Use Openai Api To Do Entity

Emily Johnson
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github druce reddit prettiest songs use openai api to do entity

Use OpenAI API to do entity extraction of all the songs from this huge Reddit thread (25k replies) and create a Spotify playlist with ~1000+ songs To run the Jupyter notebook you will need to sign up for those 3 APIs, and put IDs and secrets in a .env file similar to dot-env-template. ChatGPT sometimes does really well, for instance this extracts 4 good CSV records: also handles " Smaointe" is beautiful too. in the context of an Enya conversation. also handles The Killers do a pretty fantastic version of this tune as well.

Around the release of "Sam's Town" they recorded a few tracks at Abbey Road studios that were eventually dropped as B-sides and a cover of this song was one of them. in the context of Romeo and Juliet, by Dire Straits A ChatGPT-related Spotify playlist for your Sunday - https://lnkd.in/e7ixjKBz Reddit has a thread 'What is the prettiest song you ever heard in your life' https://lnkd.in/eMvfZfiM We can scrape the thread, ask OpenAI, please extract... yields a ~900-song playlist with standards and eclectic stuff I wasn't familiar with but is generally pretty good. Some code here - https://lnkd.in/eHJYcFwS ChatGPT isn't Artificial General Intelligence but it's quite general-purpose, for instance you can make a prompt like, recommend more songs like this.

Spotify's recommendations seem better, I believe it uses a lot more data about user revealed preferences, features of the underlying track, as well as web scrapes to know what artists and songs are talked... Also OpenAI is a bit dumb and stochastic, like a college intern, when you rerun it you get different answers, sometimes it makes dumb mistakes like reversing the column order. Not sure how well it compares to named entity extraction with Spacy but it seems have done OK. Took a while to find the architecture, but it's still an unfinished ambitious project. You can probably spend forever working on HTML and CSS fixes alone... [1] https://github.com/tholian-network/stealth

Global peer discovery is solved via mapping of identifiers via the reserved TLD, and via mutual TLS for identification and verification. So peers are basically pinned client certificates in your local settings. Works for most cases, had to implement a couple of breakout tunnel protocols though, so that peer discovery works failsafe when known IPs/ASNs are blocked. Relaying and scattering traffic works automatically, so that no correlation of IPs to scraped websites can be done by an MITM. Tunnel protocols are all generically implemented, DNS exfiltration, HTTPS smuggling, ICMP tunnels, and pwnat work already pretty failsafe. Use OpenAI API to do entity extraction of all the songs from this huge Reddit thread (25k replies) and create a Spotify playlist with ~1000+ songs

To run the Jupyter notebook you will need to sign up for those 3 APIs, and put IDs and secrets in a .env file similar to dot-env-template. ChatGPT sometimes does really well, for instance this extracts 4 good CSV records: also handles " Smaointe" is beautiful too. in the context of an Enya conversation. also handles The Killers do a pretty fantastic version of this tune as well. Around the release of "Sam's Town" they recorded a few tracks at Abbey Road studios that were eventually dropped as B-sides and a cover of this song was one of them.

in the context of Romeo and Juliet, by Dire Straits I wanted to be able to quickly rename files with my text editor (using keyboard commands), so this lets me do it. Plus I share the app online for free. Video Hub App - https://videohubapp.com/ & https://github.com/whyboris/Video-Hub-App I started it just for myself, but it ended up so good I spent several more years improving it as people kept buying it (up to almost 5,000 purchases since I started). Also wrote a couple of dev tools for myself (sharing via NPM too) - https://www.yboris.dev/

In my app, you can rename using your favorite code editor, so you have access to all your keyboard shortcuts.

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Use OpenAI API to do entity extraction of all the songs from this huge Reddit thread (25k replies) and create a Spotify playlist with ~1000+ songs To run the Jupyter notebook you will need to sign up for those 3 APIs, and put IDs and secrets in a .env file similar to dot-env-template. ChatGPT sometimes does really well, for instance this extracts 4 good CSV records: also handles " Smaointe" is bea...

Around The Release Of "Sam's Town" They Recorded A Few

Around the release of "Sam's Town" they recorded a few tracks at Abbey Road studios that were eventually dropped as B-sides and a cover of this song was one of them. in the context of Romeo and Juliet, by Dire Straits A ChatGPT-related Spotify playlist for your Sunday - https://lnkd.in/e7ixjKBz Reddit has a thread 'What is the prettiest song you ever heard in your life' https://lnkd.in/eMvfZfiM We...

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Global peer discovery is solved via mapping of identifiers via the reserved TLD, and via mutual TLS for identification and verification. So peers are basically pinned client certificates in your local settings. Works for most cases, had to implement a couple of breakout tunnel protocols though, so that peer discovery works failsafe when known IPs/ASNs are blocked. Relaying and scattering traffic w...

To Run The Jupyter Notebook You Will Need To Sign

To run the Jupyter notebook you will need to sign up for those 3 APIs, and put IDs and secrets in a .env file similar to dot-env-template. ChatGPT sometimes does really well, for instance this extracts 4 good CSV records: also handles " Smaointe" is beautiful too. in the context of an Enya conversation. also handles The Killers do a pretty fantastic version of this tune as well. Around the release...