<|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 2020-04-23 13:00:01, ciscoDC from company cisco tweeted. The tweet was "IP Telecom increases resource efficiency in the #datacenter with Cisco Workload Optimization Manager. Read case study <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2020-03-25 18:00:01, ciscoDC handle of company cisco tweeted. The tweet was "<mention> increases resource efficiency in the #datacenter with Cisco Workload Optimization Manager. Read the case study <hyperlink> <hyperlink>". This tweet got 0 number of likes. 
2. On 2020-04-19 19:00:01, ciscoDC handle of company cisco tweeted. The tweet was "See how Cisco Workload Optimization Manager #CWOM can empower #IT teams to optimize IT resource utilization and ensure performance of critical workloads in an evolving and #remotework environment. Review the #ESG report: <hyperlink> <hyperlink>". This tweet got 4 number of likes. 
3. On 2020-07-20 18:30:01, CiscoCloud handle of company cisco tweeted. The tweet was "Say NO to tradeoffs; optimize infrastructure resource utilization AND app performance with proactive workload  management. See how: <hyperlink> <hyperlink>". This tweet got 0 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|>
