doc: fix typo (#376)

README.md

@@ -16,7 +16,7 @@ Kernel Library for LLM Serving
 [![Documentation](https://github.com/flashinfer-ai/flashinfer/actions/workflows/build-doc.yml/badge.svg)](https://github.com/flashinfer-ai/flashinfer/actions/workflows/build-doc.yml)
 
 
-FlashInfer is a library for Language Languages Models that provides high-performance implementation of LLM GPU kernels such as FlashAttention,  PageAttention and LoRA. FlashInfer focus on LLM serving and inference, and delivers state-the-art performance across diverse scenarios.
+FlashInfer is a library for Large Language Models that provides high-performance implementation of LLM GPU kernels such as FlashAttention, PageAttention and LoRA. FlashInfer focus on LLM serving and inference, and delivers state-of-the-art performance across diverse scenarios.
 
 The unique features of FlashInfer include:
 1. **Comprehensive Attention Kernels**: Attention kernels that cover all the common use cases of LLM serving, including *single-request* and *batching* versions of *Prefill*, *Decode*, and *Append* kernels, on different formats of KV-Cache (Padded Tensor, Ragged Tensor, and Page Table).

docs/index.rst

@@ -8,7 +8,7 @@ Welcome to FlashInfer's documentation!
 
 `Blog <https://flashinfer.ai/>`_ | `Discussion Forum <https://github.com/orgs/flashinfer-ai/discussions>`_ | `GitHub <https://github.com/flashinfer-ai/flashinfer/>`_
 
-FlashInfer is a library for Language Languages Models that provides high-performance implementation of LLM GPU kernels such as FlashAttention, PageAttention and LoRA. FlashInfer focus on LLM serving and inference, and delivers state-of-the-art performance across diverse scenarios.
+FlashInfer is a library for Large Language Models that provides high-performance implementation of LLM GPU kernels such as FlashAttention, PageAttention and LoRA. FlashInfer focus on LLM serving and inference, and delivers state-of-the-art performance across diverse scenarios.
 
 .. toctree::
    :maxdepth: 2