<|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 2020-03-06 19:03:52, GoogleAI from company google tweeted. The tweet was "Introducing a new metric for quantifying the compositional generalization ability of #NaturalLanguageUnderstanding tasks on #MachineLearning systems, released with the new Compositional Freebase Questions dataset. Learn more at <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-06-22 17:00:01, IBMData handle of company ibm tweeted. The tweet was "The story of how IBM, <mention> and <mention> are testing a natural language processing system trained on #AI-based grammar rules that are helping it to learn faster and perform better - read more via <mention>: <hyperlink> #NLP <hyperlink>". This tweet got 45 number of likes. 
2. On 2018-05-17 18:05:15, MSFTResearch handle of company microsoft tweeted. The tweet was "Microsoft Research recently achieved human parity in translation of news articles from Chinese to English. Now, researchers are tackling low-resource languages using a Semi-Supervised Universal Neural Machine Translation approach: <hyperlink> #NAACL2018 <hyperlink>". This tweet got 72 number of likes. 
3. On 2018-01-30 17:00:20, SAP handle of company sap tweeted. The tweet was "Deep learning, neural networks, and natural language processing have elevated #machinelearning capabilities to new levels. <hyperlink> <hyperlink>". This tweet got 78 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
