Update README.md

README.md

@@ -145,4 +145,8 @@ Results show that EuroLLM-1.7B is superior to TinyLlama-v1.1 and similar to Gemm
 |--------------------|---------|---------|--------|---------|--------|---------|------------|---------|--------|--------|---------|--------|-----------|----------|-----------|--------|---------|
 | EuroLLM-1.7B | 0.4744  | 0.6084  | 0.4772  | 0.5310  | 0.5260  | 0.5067  | 0.5206  | 0.4674  | 0.4893   | 0.4075   | 0.4813   | 0.3605   | 0.4067   | 0.4598   | 0.4368   | 0.4700   | 0.4405   |
 | TinyLlama-v1.1       |0.3674   | 0.6248  | 0.3650  | 0.4137  | 0.4010  | 0.3780  | 0.3892  | 0.3494  | 0.3588   | 0.2880   | 0.3561   | 0.2841   | 0.3073   | 0.3267   | 0.3349   | 0.3408   | 0.3613   |
-| Gemma-2B             |0.4666  | 0.7165  | 0.4756  | 0.5414  | 0.5180  | 0.4841  | 0.5081  | 0.4664  | 0.4655   | 0.3868   | 0.4383   | 0.3413   | 0.3710   | 0.4316   | 0.4291   | 0.4471   | 0.4448   |
+| Gemma-2B             |0.4666  | 0.7165  | 0.4756  | 0.5414  | 0.5180  | 0.4841  | 0.5081  | 0.4664  | 0.4655   | 0.3868   | 0.4383   | 0.3413   | 0.3710   | 0.4316   | 0.4291   | 0.4471   | 0.4448   |
+
+## Bias, Risks, and Limitations
+
+EuroLLM-1.7B-Instruct has not been aligned to human preferences, so the model may generate problematic outputs (e.g., hallucinations, harmful content, or false statements).