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Update README.md: fixing 1 typo #842

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Feb 14, 2025
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Update README.md: fixing 1 typo #842

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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -28,7 +28,7 @@ The core features of FlashInfer include:
5. **CUDAGraph and torch.compile Compatibility**: FlashInfer kernels can be captured by CUDAGraphs and torch.compile for low-latency inference.
6. **Efficient LLM-specific Operators**: High-Performance [fused kernel for Top-P, Top-K/Min-P sampling](https://docs.flashinfer.ai/api/sampling.html) without the need to sorting.

FlashInfer support PyTorch, TVM and C++ (header-only) APIs, and can be easily integrated into existing projects.
FlashInfer supports PyTorch, TVM and C++ (header-only) APIs, and can be easily integrated into existing projects.

## News
- [Dec 16, 2024] [Blog Post](https://flashinfer.ai/2024/12/16/flashinfer-v02-release.html) FlashInfer 0.2 - Efficient and Customizable Kernels for LLM Inference Serving
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