Update README.md

README.md

@@ -11,10 +11,10 @@ license: bigscience-openrail-m
 [GeoV](https://github.com/geov-ai/geov)-9B is a 9 billion parameter causal language model.
 
 The GeoV model was designed by Georges Harik and uses 
-[Rotary Positional Embeddings with Relative distances (RoPER)](http://research.labml.ai/RoPER.html)
+[Rotary Positional Embeddings with Relative distances (RoPER)](https://research.labml.ai/RoPER.html)
 by [Georges Harik](https://twitter.com/gharik) and [Varuna Jayasiri](https://twitter.com/vpj).
 
-[RoPER](http://research.labml.ai/RoPER.html), 
+[RoPER](https://research.labml.ai/RoPER.html), 
 in addition to using relative positions in the attention score calculation by RoPE embeddings,
 adds relative positional information explicitly to value embeddings.
 Specifically, it incorporates the relative positions of the tokens paid attention to.