<|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 2019-07-30 16:14:01, CiscoUKI from company cisco tweeted. The tweet was "Siloed systems are bad news for the service delivery of local governments 📉 <mention> explains how a smarter, more cohesive approach to service delivery can help: <hyperlink> <hyperlink>". The most similar tweets were, 
1. 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 likes. 
2. On 2019-02-14 10:38:39, CiscoUKI handle of company cisco tweeted. The tweet was "Our resident #smartcities expert <mention> highlights how IoT can help local authorities overcome future challenges <hyperlink> <hyperlink>". This tweet got 4 number of likes. 
3. On 2020-06-17 21:11:32, CiscoDevNet handle of company cisco tweeted. The tweet was "“The products, services, and technologies we offer are now more important than ever. All of the technology you are involved in, drives business outcomes.” – <mention>,  SVP and General Manager of Cisco #DevNet and CX Ecosystem Success #CiscoLive <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
4<|im_end|>
