<|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 2019-01-23 14:09:23, BofA_News from company bank of america tweeted. The tweet was "At #WEF19, <mention> shares her take on the intersection of understanding &amp; implementation of #AI. <mention> <hyperlink>". The most similar tweets were, 
1. On 2018-06-07 14:02:15, IBMResearch handle of company ibm tweeted. The tweet was ".<mention> Takes #AI In Different Directions <hyperlink> <hyperlink>". This tweet got 42 number of likes. 
2. On 2018-01-03 02:21:38, IBM handle of company ibm tweeted. The tweet was "Take a look at what makes the <mention> - <mention> #AI lab so special: <hyperlink> <hyperlink>". This tweet got 165 number of likes. 
3. On 2020-01-23 18:10:21, ibmconsulting handle of company ibm tweeted. The tweet was "We're joining forces with <mention>, founded by <mention>, to accelerate the adoption of ethical #AI and responsibly manage customer data as AI goes mainstream. #WEF20 <hyperlink>". This tweet got 72 number of 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
