Update llama-on-prem.md

Author: HamidShojanazeri

recipes/inference/model_servers/llama-on-prem.md

@@ -1,6 +1,6 @@
 # Llama 3 On-Prem Inference Using vLLM and TGI
 
-Enterprise customers may prefer to deploy Llama 3 on-prem and run Llama in their own servers. This tutorial shows how to use Llama 3 with [vLLM](https://github.com/vllm-project/vllm) and Hugging Face [TGI](https://github.com/huggingface/text-generation-inference), two leading open-source tools to deploy and serve LLMs, and how to create vLLM and TGI hosted Llama 3 instances with [LangChain](https://www.langchain.com/), an open-source LLM app development framework which we used for our other demo apps: [Getting to Know Llama](https://github.com/meta-llama/llama-recipes/blob/main/recipes/quickstart/Getting_to_know_Llama.ipynb), Running Llama 3 [locally](https://github.com/meta-llama/llama-recipes/blob/main/recipes/quickstart/Running_Llama2_Anywhere/Running_Llama_on_Mac_Windows_Linux.ipynb) and [in the cloud](https://github.com/meta-llama/llama-recipes/blob/main/recipes/use_cases/RAG/HelloLlamaCloud.ipynb). See [here](https://medium.com/@rohit.k/tgi-vs-vllm-making-informed-choices-for-llm-deployment-37c56d7ff705) for a detailed comparison of vLLM and TGI.
+Enterprise customers may prefer to deploy Llama 3 on-prem and run Llama in their own servers. This tutorial shows how to use Llama 3 with [vLLM](https://github.com/vllm-project/vllm) and Hugging Face [TGI](https://github.com/huggingface/text-generation-inference), two leading open-source tools to deploy and serve LLMs, and how to create vLLM and TGI hosted Llama 3 instances with [LangChain](https://www.langchain.com/), an open-source LLM app development framework which we used for our other demo apps: [Getting to Know Llama](https://github.com/meta-llama/llama-recipes/blob/main/recipes/quickstart/Getting_to_know_Llama.ipynb), Running Llama 3 <!-- markdown-link-check-disable -->[locally](https://github.com/meta-llama/llama-recipes/blob/main/recipes/quickstart/Running_Llama2_Anywhere/Running_Llama_on_Mac_Windows_Linux.ipynb) <!-- markdown-link-check-disable --> and [in the cloud](https://github.com/meta-llama/llama-recipes/blob/main/recipes/use_cases/RAG/HelloLlamaCloud.ipynb). See [here](https://medium.com/@rohit.k/tgi-vs-vllm-making-informed-choices-for-llm-deployment-37c56d7ff705) for a detailed comparison of vLLM and TGI.
 
 For [Ollama](https://ollama.com) based on-prem inference with Llama 3, see the Running Llama 3 locally notebook above.