Update README.md

README.md

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 Text-Generation-Inference is, an open-source, purpose-built solution for deploying and serving Large Language Models (LLMs). TGI enables high-performance text generation using Tensor Parallelism and dynamic batching for the most popular open-source LLMs, including StarCoder, BLOOM, GPT-NeoX, Llama, and T5. Text Generation Inference is already used by customers such as IBM, Grammarly, and the Open-Assistant initiative implements optimization for all supported model architectures, including:
 
 - Tensor Parallelism and custom cuda kernels
-- OOptimized transformers code for inference using flash-attention and Paged Attention on the most popular architectures
+- Optimized transformers code for inference using flash-attention and Paged Attention on the most popular architectures
 - Quantization with bitsandbytes or gptq
 - Continuous batching of incoming requests for increased total throughput
 - Accelerated weight loading (start-up time) with safetensors