<|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 2020-03-27 11:20:38, CNN from company cnn tweeted. The tweet was "Medical schools across the US are considering early graduation for their senior medical students to become doctors, as demand for health care providers rises due to the coronavirus pandemic. <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2020-03-27 04:17:03, CNN handle of company cnn tweeted. The tweet was "Medical schools across the US are considering early graduation for their senior medical students to become doctors, as demand for health care providers rises due to the coronavirus pandemic. <hyperlink> <hyperlink>". This tweet got 1623 number of likes. 
2. On 2018-08-16 19:54:46, CNN handle of company cnn tweeted. The tweet was "New York University will offer a scholarship that covers tuition to every new, current and future medical student <hyperlink> <hyperlink>". This tweet got 1044 number of likes. 
3. On 2018-07-19 21:21:07, CNN handle of company cnn tweeted. The tweet was "The entire first class of the University of Houston's new medical school will get free tuition thanks to an anonymous $3 million donation <hyperlink> <hyperlink>". This tweet got 8713 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
818<|im_end|>
