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update links in overview section of README #2028

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update links in overview section of README #2028

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4 changes: 2 additions & 2 deletions README.md
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Expand Up @@ -88,9 +88,9 @@ for integration with the
a production-quality system to serve LLMs. Models built with TensorRT-LLM can
be executed on a wide range of configurations going from a single GPU to
multiple nodes with multiple GPUs (using
[Tensor Parallelism](https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/stable/nlp/nemo_megatron/parallelisms.html#tensor-parallelism)
[Tensor Parallelism](https://docs.nvidia.com/nemo-framework/user-guide/latest/nemotoolkit/features/parallelisms.html#tensor-parallelism)
and/or
[Pipeline Parallelism](https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/stable/nlp/nemo_megatron/parallelisms.html#pipeline-parallelism)).
[Pipeline Parallelism](https://docs.nvidia.com/nemo-framework/user-guide/latest/nemotoolkit/features/parallelisms.html#pipeline-parallelism)).

The TensorRT-LLM Python API architecture looks similar to the
[PyTorch](https://pytorch.org) API. It provides a
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