Update README.md

README.md

@@ -11,4 +11,9 @@ license: mit
 short_description: Beam Search vs Greedy Search Demo
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+Welcome to the Beam Search vs Greedy Search Demo repository! This educational demo illustrates two text generation strategies in LLM inference using the Qwen2.5-0.5B model.
+
+This demo compares:
+- **Greedy Search**: Picks the most probable token at every generation step (deterministic).
+- **Beam Search**: Explores multiple beams concurrently and returns the top candidate, often achieving more coherent or creative outputs.
+