<|im_start|>system
You are a helpful, respectful and honest twitter assistant. Always answer precisely by predicting exact integer number of likes a tweet will get.<|im_end|>
<|im_start|>user
On 2019-02-28 05:00:01, msdev from company microsoft tweeted. The tweet was "Join a local user group for a deep dive in Azure in the #GlobalAzure Bootcamp. No user group event near you? Start one! <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-03-23 06:30:17, Azure handle of company microsoft tweeted. The tweet was "Are you ready for #GlobalAzure Bootcamp? Get all the info you need: <hyperlink> <hyperlink>". This tweet got 82 number of likes. 
2. On 2018-01-22 22:00:01, Azure handle of company microsoft tweeted. The tweet was "Are you ready for #GlobalAzure Bootcamp? Register now to host your own location: <hyperlink> <hyperlink>". This tweet got 68 number of likes. 
3. On 2018-06-12 06:55:01, Azure handle of company microsoft tweeted. The tweet was "Using #Azure, <mention> created an unparalleled game-day experience while connecting their global fanbase. Download the eBook to learn how: <hyperlink> <hyperlink>". This tweet got 109 number of likr likes. 
As someone well-versed in Twitter trends and engagement, the exact positive integer number of likes this tweet will receive are<|im_end|>
<|im_start|>assistant
63<|im_end|>
