<|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 2018-04-24 10:48:54, GErenewables from company ge tweeted. The tweet was "We're proving our #offshorewind turbines, including the #HaliadeX, in a five-year R&amp;D agreement with <mention> in the #UK - <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2020-05-22 07:30:11, toyota_europe handle of company toyota tweeted. The tweet was "#Toyota HO in Brussels, will from now generate #renewableelectricity on-site using both a #windturbine and #solarpanels #EnvironmentalChallenge2050
👉 <hyperlink> <hyperlink>". This tweet got 23 number of likes. 
2. On 2020-08-28 13:36:48, Siemens_Energy handle of company siemens tweeted. The tweet was "⭐ A major milestone achieved on the #MorayEast Offshore Wind Farm as the final Offshore Transformer Module ⚡ heads to the project this weekend &amp; thanks to hard work of the team all have been handed over to the customer snag free 🙌 <hyperlink> #WeEnergizeSociety <hyperlink>". This tweet got 46 number of likes. 
3. On 2019-12-05 14:58:38, SiemensGamesa handle of company siemens tweeted. The tweet was "Direct news! Siemens Gamesa announces the installation of our 1,000th SGRE Offshore Direct Drive wind turbine! And this is only the beginning: another 1000+ units have already been sold!
#From1to1000
<hyperlink> <hyperlink>". This tweet got 75 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
