Update README.md

README.md

@@ -51,11 +51,11 @@ This model is designed to generate quality and efficient code in any programming
 
 This mode is not specifically designed for any other type of task. However, the model appears to still contain roughly the same generalizability as the base model. Users should consider the common limitations of language models as they select use cases and evaluate and mitigate for accuracy, safety, and fairness before using them within a specific downstream use case, particularly if being used in high-risk scenarios.
 
-## Bias, Risks, and Limitations
+## Risks and Limitations
 
 <!-- This section is meant to convey both technical and sociotechnical limitations. -->
 
-[More Information Needed]
+The model was trained on a dataset that is predominantly Python code; therefore, asking for code in another language may not be as efficient or high quality as the user would like. The model may still generate incorrect or outdated responses given that new libraries and practices are continuously being developed and updated. The model performance may be negatively affected by open-ended or highly complex tasks, and model performance can be influenced by the amount of context provided. Providing the model with ambiguous prompts can lead to incoherent or inaccurate responses. LLMs may struggle to grasp subtle nuances, sarcasm, or figurative language. LLMs rely on statistical patterns in language and may lack the ability to apply common sense reasoning in certain situations.
 
 ### Recommendations
 
@@ -200,20 +200,6 @@ Carbon emissions can be estimated using the [Machine Learning Impact calculator]
 
 [More Information Needed]
 
-## Glossary [optional]
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-<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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-[More Information Needed]
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-## More Information [optional]
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-[More Information Needed]
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-## Model Card Authors [optional]
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 ## Model Card Contact
 
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