<|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 2018-01-28 23:00:01, CiscoNetworking from company cisco tweeted. The tweet was "See how krz rolled out a wireless-as-a-service program to allow cities and towns to offer a Cisco deployed #network. <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-07-27 16:00:05, CiscoNetworking handle of company cisco tweeted. The tweet was "Find out how Cisco provides the <mention> the #network deployment they needed to bring customers a more fun, immersive experience! <hyperlink> <hyperlink>". This tweet got 2 number of likes. 
2. On 2019-11-15 01:01:38, CiscoANZ handle of company cisco tweeted. The tweet was "Make sure to tune in to this video from <mention> as he dives in further on managed services for our #Partners! Take a look: <hyperlink>". This tweet got 0 number of likes. 
3. On 2019-02-26 14:25:01, CiscoUKI handle of company cisco tweeted. The tweet was "Smart cities have the potential to deliver better, more efficient public services. Here's how we can make this a reality 👉 <hyperlink> <hyperlink>". This tweet got 4 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
3<|im_end|>
