Update README.md

README.md

@@ -26,21 +26,15 @@ widget:
   example_title: "language - Portuguese"
 - text: "se potesse vivere ovunque, dove sarebbe? peter szemraj: Io" 
   example_title: "dream living place - Italian"
-- text: "What would you change about yourself if you could?\npeter szemraj:\n\n"
-  example_title: "change"
-- text: "My first is in Asia, my second is in Europe, my third is in North America, and my fourth is in South America. What am I?\npeter szemraj:\n\n"
-  example_title: "continent"
 - text: "Can you take me for dinner somewhere nice this time?\npeter szemraj:\n\n"
   example_title: "dinner"
-- text: "Honey, I have clogged the toilet for the third time this month.. sorry..\npeter szemraj:\n\n"
-  example_title: "overflow"
 - text: "What really makes you angry?\npeter szemraj:\n\n" 
   example_title: "pet peeve"
 - text: "Jak nazwać aligatora, który właśnie przeszedł operację usunięcia lewego ramienia?peter szemraj: Ja" 
   example_title: "alligator - Polish"
 - text: "Warum sind Transformers für die Sprachmodellierung wichtig?  peter szemraj: Es ist"
   example_title: "Transformers - German"
-- text: "как написать хорошие подсказки для языковых моделей? peter szemraj: ну, во-первых,"
+- text: "как написать хорошие подсказки для языковых моделей? peter szemraj: сначала вам нужно"
   example_title: "prompt tutorial - Russian"
 - text: "Pewien mężczyzna wpycha swój samochód do hotelu i mówi właścicielowi, że jest bankrutem. Dlaczego? peter szemraj: może"
   example_title: "brain teaser - Polish 2"
@@ -73,7 +67,7 @@ inference:
 **Interesting findings thus far:**
 
 - Passing a generic word after the `<name-identifier>` that is in a non-English language helps ensure the model responds in the question language (see: any example).
-- Model generations (in general) remain semantically consistent, even if the generations switch from  `<language>`to English in the middle of the generated text. This demonstrates some sort of "universal concept understanding" .
+- Model generations (in general) remain semantically consistent, even if the generations switch from  `<language>`to English in the middle of the generated text. This demonstrates some sort of "universal concept understanding"
 
 ### Usage in python