
Which is more popular?
Based on our record, ShortlyAI seems to be a lot more popular than mlsql. While we know about 23 links to ShortlyAI, we've tracked only 2 mentions of mlsql.
Website, pricing, platforms and company facts side by side.
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What each product offers, as listed by its team.


Possible disadvantages
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An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
Shortlyai Review & Demo ⏩ AI Tools For Affiliate Marketers ⏩ Is Shortly AI One Of The BEST?
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How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using ShortlyAI and mlsql. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


To use Shortly.ai, all you need to do is choose between writing an “ article” or a “ story.” Then you just start writing and click on the “write for me” button.
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Recommendations tracked on public social media and blogs since March 2021.


I don't know of any that use a more powerful model. The only alternatives I know of that use GPT-3, and that also work somewhat similarly to AI Dungeon, are ShortlyAI and Hyperwrite. Both have free trials, but both also use OpenAI's... Source: almost 5 years ago
Shortlyai.com was the AI service I was using previously. Very basic. You just input a prompt and tell it to write for you. Worked great for patterns and lists, not so much if you wanted to shape a story. Source: almost 5 years ago
Dragon uses the 175B GPT-3 Davinci model. Philosopher AI and EndlessVN use the same model, though they both work significantly differently from AI Dungeon. EndlessVN is also in closed alpha at the moment; if you didn't sign up for the... Source: about 5 years ago
I am working on a project that requires me to take user input (as English) and return SQL queries. We will eventually be working with multiple datasets, which is why the valuenet over at https://github.com/paulfitz/mlsql ended up being... Source: over 4 years ago
I found this great resource here: https://github.com/paulfitz/mlsql. Source: almost 5 years ago
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