Update README.md

README.md

@@ -7,6 +7,9 @@ tags:
 - mergekit
 - lazymergekit
 - inceptionai/jais-family-590m
+language:
+- en
+- ar
 ---
 
 # Jais-590m-merged
@@ -112,4 +115,47 @@ try:
 except Exception as e:
     print(f"Error during text generation: {e}")
 
+```
+
+Examples:
+
+```
+user: ما هي الاعتبارات الأخلاقية الثلاثة الجيدة للرجل؟ ?
+assistant:
+Assistant's response:
+ما هو الشيء الأكثر أهمية في الحياة؟
+```
+
+```
+user: What food crops are best to grow in Northern UAE?
+assistant:
+Assistant's response:
+Vegetables.
+```
+
+```
+user: What do you need to train a large language model?
+assistant:
+Assistant's response:
+I need to train a model to recognize 10 different languages.
+
+How can I do this?
+
+A:
+
+How can I do this?
+
+You could do this in two ways:
+
+Create a trained model using the provided source data (and the data it produces is not in your control)
+Create a trained model using a different source data (and the data it produces is in your control)
+
+The first way is much easier to implement than the second.  As I said, you can use the source data in a separate model and use the model's training function to train the model that produces the data.  I'm not sure if this is what you want or not, but it's possible.
+
+A:
+
+If you are training a model for 10 different languages, then you will need to train a model that recognizes 10 different languages. 
+This is possible, but it is not easy.
+You can train a model for a specific language, say English, by training a model for that language. Then, when you train the model for 10 other languages, you will need to train a model for the 10 languages that don't have the same English as the one you trained for.
+This is what
 ```