Update readme.md

Author: tsikiksr

LLM/readme.md

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 # Large Language Models in OCI Data Science
+
+OCI Data Science can be used to fine-tune, deploy, and manage Large Langugage Models (LLMs) effectively, efficiently, and easily.
+This page curates the links to some common use cases for LLMs.
+
+[Fine tune Llama 2 with distributed multi-node, multi-GPU job](https://github.com/oracle-samples/oci-data-science-ai-samples/tree/main/distributed_training/llama2)
+
+[Quantize Llama 2 70B to 4 bits and deploy on 2xA10s](tbd)
+
+[Deploy Llama 2 on fully service managed deployment using TGI or vLLM](https://github.com/oracle-samples/oci-data-science-ai-samples/tree/master/model-deployment/containers/llama2)
+
+[Deploy Mistral 7B](https://github.com/oracle-samples/oci-data-science-ai-samples/tree/main/model-deployment/containers/llm/mistral)
+
+[Deploy GPT-2 using NVidia Triton Inference Server](https://github.com/oracle-samples/oci-data-science-ai-samples/blob/main/model-deployment/containers/Triton/gpt2_ensemble/Deploy_GPT2_Ensemble.md)