<|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 2018-09-18 08:30:27, Siemens_Energy from company siemens tweeted. The tweet was "#FastPower – The ideal choice for customers in regions with an urgent need for reliable #power. Do you want to know why <mention>? <hyperlink> #PGASIA <hyperlink>". The most similar tweets were, 
1. On 2019-05-13 14:10:06, Siemens_Energy handle of company siemens tweeted. The tweet was "It takes around 12 months to construct a #powerplant. But what about fast-developing regions that need power urgently? How we want to support their progress? #FastPower ➡️ <hyperlink>  
#PGAF19 #AUW2019 <hyperlink>". This tweet got 520 number of likes. 
2. On 2018-06-27 11:30:12, Siemens_Energy handle of company siemens tweeted. The tweet was "#FastPower. Anywhere. There is no location and distance too far for our Fast Power #gasturbines: 
<hyperlink> <hyperlink>". This tweet got 418 number of likes. 
3. On 2018-01-21 14:05:10, Siemens_Energy handle of company siemens tweeted. The tweet was "Connecting regional #mediumvoltage #powernetworks - adding #power &amp; reducing dependencies on #highvoltage networks. <hyperlink> <hyperlink>". This tweet got 329 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
788<|im_end|>
