Update best_practices.md

Author: PointKernel

docs/best_practices.md

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 # NVBench Best Practices
 
-NVBench is a **small yet actively developed benchmarking library** for CUDA GPU workloads. The [README](https://github.com/NVIDIA/cuCollections/blob/dev/README.md) serves as the ideal starting point, providing detailed guidance for users to get hands-on experience—from installation to framework usage. It includes links to the [benchmark documentation](https://github.com/NVIDIA/nvbench/blob/main/docs/benchmarks.md), which covers all essential features and usage instructions, as well as links to [code examples](https://github.com/NVIDIA/nvbench/tree/main/examples) that demonstrate how to integrate NVBench into a user’s codebase.
+NVBench is a **small yet actively developed benchmarking library** for CUDA GPU workloads. The [README](https://github.com/NVIDIA/cuCollections/blob/dev/README.md) serves as the ideal starting point, providing detailed guidance for users to get hands-on experience—from installation to framework usage. It includes links to the [benchmark documentation](https://github.com/NVIDIA/nvbench/blob/main/docs/benchmarks.md), which covers all essential features and usage instructions, as well as links to [code examples](https://github.com/NVIDIA/nvbench/tree/main/examples) that demonstrate how to integrate and apply various NVBench features within a user’s codebase.
 
 This document is **not intended to replace** the detailed benchmark documentation ([here](https://github.com/NVIDIA/nvbench/blob/main/docs/benchmarks.md)) or the CLI help guides ([CLI help](https://github.com/NVIDIA/nvbench/blob/main/docs/cli_help.md) and [CLI axis help](https://github.com/NVIDIA/nvbench/blob/main/docs/cli_help_axis.md)). All examples provided are for demonstration purposes and are **not intended as recommendations for best practices in real-world scenarios**.