<|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 2018-10-11 01:26:24, TotalDivas from company total tweeted. The tweet was "Smooth <mention>. 😉 #TotalDivas <hyperlink>". The most similar tweets were, 
1. On 2019-11-10 17:30:00, TotalDivas handle of company total tweeted. The tweet was "This moment’s yours <mention> ❤️❤️❤️ #TotalDivas <hyperlink>". This tweet got 2384 number of likes. 
2. On 2018-01-04 02:05:30, TotalDivas handle of company total tweeted. The tweet was "When you look good and you know it. #TotalDivas <mention> <hyperlink>". This tweet got 443 number of likes. 
3. On 2018-01-11 02:36:18, TotalDivas handle of company total tweeted. The tweet was "*Saves this GIF to send to everyone we know.* #TotalDivas <hyperlink>". This tweet got 634 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
1544<|im_end|>
