<|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 2019-12-02 15:13:01, CiscoUKI from company cisco tweeted. The tweet was "Complement your on-site training with a personalised discussion with a Cisco engineer! 👨‍💻👩‍💻

'Meet the Engineer' sessions will help contextualise your experience at #CLEUR 2020 - more info 👉
<hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-08-01 14:32:01, CiscoCX handle of company cisco tweeted. The tweet was "Skills for your future, here today. Experience learning at the next level: <hyperlink> via <mention> #CiscoCX #CCIE <hyperlink>". This tweet got 1 number of likes. 
2. On 2018-01-26 09:00:03, CiscoSP360 handle of company cisco tweeted. The tweet was "It's almost time for #CLEUR! While you're there, make the most of our world-class curriculum &amp; training especially designed Telecom professionals. Choose from one of our technical, demos or speaking sessions: <hyperlink> <hyperlink>". This tweet got 1 number of likes. 
3. On 2018-01-23 10:00:02, CiscoSoftware handle of company cisco tweeted. The tweet was "We cant wait to see you in #CLEUR. Join us at #CiscoONE Software booth to learn about new innovation <hyperlink> <hyperlink>". This tweet got 0 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
2<|im_end|>
