<|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 2019-08-29 20:27:00, BofA_Business from company bank of america tweeted. The tweet was "We’re proud to host the <mention> event because promoting a culture of innovation and collaboration can help <mention> find better, faster &amp; cheaper solutions to make our clients’ financial lives better. <mention> <hyperlink>". The most similar tweets were, 
1. On 2018-04-15 22:15:07, marcus handle of company goldman sachs tweeted. The tweet was "We’re excited to welcome the <mention> team, and their over one million customers, to <mention> by <mention>! Read more here: <hyperlink> <hyperlink>". This tweet got 74 number of likes. 
2. On 2018-10-24 16:45:01, CiscoPartners handle of company cisco tweeted. The tweet was "See how our #partners <mention>, <mention> &amp; <mention> helped one bank meet new compliance rules and build a better customer experience: <hyperlink> <hyperlink>". This tweet got 2 number of likes. 
3. On 2019-05-01 20:12:01, CiscoPartners handle of company cisco tweeted. The tweet was "Alongside <mention>, we're helping to apply innovation to tackling customers' business needs. 💪 Learn more about the co-innovation #partnership: <hyperlink> <hyperlink>". This tweet got 3 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
