<|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 2019-03-06 05:15:02, CiscoANZ from company cisco tweeted. The tweet was "Hear from <mention>, <mention>, and <mention> during the <mention> Innovation Talk for the latest insights and updates! Starting in 15 minutes: <hyperlink> #CLMel <hyperlink>". The most similar tweets were, 
1. On 2018-03-07 01:45:01, CiscoANZ handle of company cisco tweeted. The tweet was ".<mention> is taking the stage in 15 minutes for an exciting Innovation Talk. Go grab a seat: <hyperlink> #CLMel <hyperlink>". This tweet got 1 number of likes. 
2. On 2019-07-20 07:00:13, CiscoANZ handle of company cisco tweeted. The tweet was "There's no time to waste! Be sure check out the On-Demand Library to watch your favourite #CLMel Keynotes, Sessions, and Innovation Talks! <hyperlink> <hyperlink>". This tweet got 4 number of likes. 
3. On 2019-10-24 01:45:30, CiscoCollab handle of company cisco tweeted. The tweet was "<mention> We'll get it in the roadmap 😉 <hyperlink>". This tweet got 2 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
2<|im_end|>
