<|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 2018-06-12 16:48:26, ENGIEgroup from company engie tweeted. The tweet was "#GRHYD is a large project meant to test the relevance of hydrogen use! Let us provide you with some figures #hydrogen 💪 <hyperlink>". The most similar tweets were, 
1. On 2018-12-04 12:21:14, toyota_europe handle of company toyota tweeted. The tweet was "#Didyouknow all of this about #hydrogen? <hyperlink>". This tweet got 9 number of likes. 
2. On 2020-07-08 12:44:55, Siemens_Energy handle of company siemens tweeted. The tweet was "📢 BREAKING NEWS: The <mention> has just presented its 🇪🇺 #hydrogen strategy. Find out how we contribute to the global #EnergyTransition ▶️ <hyperlink> #Hydrogen4Climate #WeEnergizeSociety <hyperlink>". This tweet got 368 number of likes. 
3. On 2019-06-15 09:01:02, toyota_europe handle of company toyota tweeted. The tweet was "The world will benefit from #hydrogen as part of the #energytransition if we can capture the most immediately promising opportunities to scale up across various industries. #HydrogenNow #G20Summit #ToyotaMirai #Mirai 
<hyperlink> <hyperlink>". This tweet got 17 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
