updated RoPE statement (#423)

* updated RoPE statement

* updated .gitignore

* Update ch05/07_gpt_to_llama/converting-gpt-to-llama2.ipynb

---------

Co-authored-by: Sebastian Raschka <mail@sebastianraschka.com>

.gitignore

@@ -44,6 +44,8 @@ ch05/07_gpt_to_llama/Llama-3.1-8B
 ch05/07_gpt_to_llama/Llama-3.1-8B-Instruct
 ch05/07_gpt_to_llama/Llama-3.2-1B
 ch05/07_gpt_to_llama/Llama-3.2-1B-Instruct
+ch05/07_gpt_to_llama/Llama-3.2-3B
+ch05/07_gpt_to_llama/Llama-3.2-3B-Instruct
 
 ch06/01_main-chapter-code/gpt2
 ch06/02_bonus_additional-experiments/gpt2

ch05/07_gpt_to_llama/converting-gpt-to-llama2.ipynb

@@ -409,7 +409,7 @@
     "self.pos_emb = nn.Embedding(cfg[\"context_length\"], cfg[\"emb_dim\"])\n",
     "```\n",
     "\n",
-    "- Instead of these absolute positional embeddings, Llama uses relative positional embeddings, called rotary position embeddings (RoPE for short)\n",
+    "- Unlike traditional absolute positional embeddings, Llama uses rotary position embeddings (RoPE), which enable it to capture both absolute and relative positional information simultaneously\n",
     "- The reference paper for RoPE is [RoFormer: Enhanced Transformer with Rotary Position Embedding (2021)](https://arxiv.org/abs/2104.09864)"
    ]
   },