<|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 2019-09-29 18:44:01, BBCWales from company bbc tweeted. The tweet was "Autumn in #Wales. Just wow. ❤️🍂

<hyperlink>". The most similar tweets were, 
1. On 2020-10-18 19:25:33, AvivaKlompas handle of company aviva tweeted. The tweet was "It’s Autumn in New England and it’s beautiful 🍁🍂 <hyperlink>". This tweet got 169 number of likes. 
2. On 2019-10-07 05:19:40, thepaulwilliams handle of company williams tweeted. The tweet was "No messing from Gatland.

Wales have been here before 👇 <hyperlink>". This tweet got 351 number of likes. 
3. On 2020-04-10 19:32:40, OwsWills handle of company williams tweeted. The tweet was "Do NOT Visit Wales 🏴󠁧󠁢󠁷󠁬󠁳󠁿 

#dontvisitwaleschallenge <hyperlink>". This tweet got 982 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
