<|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 2018-11-06 16:09:01, IBMcloud from company ibm tweeted. The tweet was "Live at #VMworld, we announced new advancements from our partnership with <mention> to enable cloud adoption no matter where you are in your journey. Get the scoop:<hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-10-10 23:02:49, IBMcloud handle of company ibm tweeted. The tweet was "#TBT to the 1970's when <mention> released virtual machines. <hyperlink>". This tweet got 80 number of likes. 
2. On 2019-09-30 19:19:56, IBM handle of company ibm tweeted. The tweet was "We’ve come together with <mention> to unlock the true potential of hybrid cloud.

Tune in to <mention> and learn how our partnership will enable more freedom and flexibility for your business: <hyperlink> #InternationalPodcastDay <hyperlink>". This tweet got 173 number of likes. 
3. On 2018-10-23 09:25:01, IBMcloud handle of company ibm tweeted. The tweet was "It's official! A new #IBMCloud Garage just opened its doors in Madrid. See how we're empowering enterprises and start-ups to collaborate and grow: <hyperlink> <hyperlink>". This tweet got 51 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
164<|im_end|>
