Update README.md

README.md

@@ -38,16 +38,16 @@ Fine-tuning: Utilized the LoRA approach, refining two matrices that mirror the m
 - **Finetuned from model:** [ Jacaranda/kiswallama-pretrained model which builds upon Meta/Llama2]
 ## Uses
 UlizaLlama7b-1 is optimized for downstream tasks, notably those demanding instructional datasets in Swahili, English, or both. Organizations can further fine-tune it  for their specific domains. Potential areas include:
-1. Question-answering within specific domains.
-2. Assistant-driven chat capabilities: healthcare, agriculture, legal, education, tourism and hospitality, public services, financial sectors, communication, customer assistance, commerce, etcpublic services, financial sectors, communication, customer assistance, commerce, etc.
+- Question-answering within specific domains.
+- Assistant-driven chat capabilities: healthcare, agriculture, legal, education, tourism and hospitality, public services, financial sectors, communication, customer assistance, commerce, etcpublic services, financial sectors, communication, customer assistance, commerce, etc.
 
 Meanwhile, Jacaranda/kiswallama-pretrained offers versatility in:
-3. Text Summarization
-4. Autoregressive Text Completion
-5. Content Generation
-6. Text Rewording
-7. Grammar Refinement and Editing
-8. Further Research-The current UlizaLlama is available as a 7 Billion parameters model, further research can also explore availing bigger variants of UlizaLlama.
+- Text Summarization
+- Autoregressive Text Completion
+- Content Generation
+- Text Rewording
+- Grammar Refinement and Editing
+- Further Research-The current UlizaLlama is available as a 7 Billion parameters model, further research can also explore availing bigger variants of UlizaLlama.
 
 <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->