Update README.md

README.md

@@ -20,17 +20,12 @@ To use the model, provide an input text and a JSON template describing the infor
 
 Note: This model is trained to prioritize pure extraction, so in most cases all text generated by the model is present as is in the original text.
 
+Check out the [blog post](https://numind.ai/blog/nuextract-1-5---multilingual-infinite-context-still-small-and-better-than-gpt-4o).
+
 Try it here: [Playground](https://huggingface.co/spaces/numind/NuExtract-v1.5)
 
 We also provide a tiny (0.5B) version which is based on Qwen2.5-0.5B: [NuExtract-tiny-v1.5](https://huggingface.co/numind/NuExtract-tiny-v1.5)
 
-**Check out other models by NuMind:**
-
-- NuExtract Version 1 Models: [0.5B](https://huggingface.co/numind/NuExtract-tiny), [3.8B](https://huggingface.co/numind/NuExtract), [7B](https://huggingface.co/numind/NuExtract-large)
-- SOTA Zero-shot NER Model [NuNER Zero](https://huggingface.co/numind/NuNER_Zero)
-- SOTA Multilingual Entity Recognition Foundation Model: [link](https://huggingface.co/numind/entity-recognition-multilingual-general-sota-v1)
-- SOTA Sentiment Analysis Foundation Model: [English](https://huggingface.co/numind/generic-sentiment-v1), [Multilingual](https://huggingface.co/numind/generic-sentiment-multi-v1)
-
 ## Benchmark
 
 Zero-shot performance: