typo (#26)

chapters/01-introduction.md

@@ -14,7 +14,7 @@ This book details key decisions and basic implementation examples for each step
 RLHF has been applied to many domains successfully, with complexity increasing as the techniques have matured.
 Early breakthrough experiments with RLHF were applied to deep reinforcement learning [@christiano2017deep], summarization [@stiennon2020learning], following instructions [@ouyang2022training], parsing web information for question answering [@nakano2021webgpt], and "alignment" [@bai2022training].
 
-In modern language model training, RLHF is one component on post-training. 
+In modern language model training, RLHF is one component of post-training. 
 Post-training is a more complete set of techniques and best-practices to make language models more useful for downstream tasks [@lambert2024t].
 Post-training can be summarized as using three optimization methods: