Merge pull request #1973 from oracle-devrel/llm-comparator-update

Update README.md

Author: anshoracle

ai/generative-ai-service/llm-comparator/README.md

@@ -2,7 +2,7 @@
 
 A web application that enables side-by-side comparison of Large Language Models (LLMs) and their fine-tuned counterparts on Oracle Cloud Infrastructure (OCI). The application provides an intuitive interface to evaluate model performance, response quality, and inference time improvements achieved through fine-tuning.
 
-Reviewed: 23.07.2025
+Reviewed: 19.09.2025
 
 <img width="1703" height="1280" alt="image" src="https://github.com/user-attachments/assets/2cc14579-3422-4272-a766-c48bb6c3afe4" />
 
@@ -19,11 +19,12 @@ Configure your Oracle Cloud Infrastructure credentials and endpoints in the conf
 
 # Useful Links
 
-- [Gen AI DAC: Performance](https://docs.public.content.oci.oraclecloud.com/en-us/iaas/Content/generative-ai/performance.htm)
-- [Gen AI Data handlining](https://docs.public.content.oci.oraclecloud.com/en-us/iaas/Content/generative-ai/data-handling.htm)
-- [Hyperparameter details](https://docs.public.content.oci.oraclecloud.com/en-us/iaas/Content/generative-ai/fine-tuning-parameters.htm)
-- [Model performance details](https://docs.public.content.oci.oraclecloud.com/en-us/iaas/Content/generative-ai/concepts-metrics.htm)
-- [Available fine tunning methods](https://docs.public.content.oci.oraclecloud.com/en-us/iaas/Content/generative-ai/choose-method.htm)
+- [Gen AI DAC Performance](https://docs.public.content.oci.oraclecloud.com/en-us/iaas/Content/generative-ai/performance.htm): Understand the performance characteristics of Generative AI Dedicated AI Cluster on OCI.
+- [Gen AI Data Handling](https://docs.public.content.oci.oraclecloud.com/en-us/iaas/Content/generative-ai/data-handling.htm): Learn about data handling practices and policies for Generative AI on OCI.
+- [Hyperparameter Details](https://docs.public.content.oci.oraclecloud.com/en-us/iaas/Content/generative-ai/fine-tuning-parameters.htm): Explore the hyperparameters available for fine-tuning Generative AI models on OCI.
+- [Model Performance Details](https://docs.public.content.oci.oraclecloud.com/en-us/iaas/Content/generative-ai/concepts-metrics.htm): Understand the metrics used to evaluate the performance of Generative AI models on OCI.
+- [Available Fine-Tuning Methods](https://docs.public.content.oci.oraclecloud.com/en-us/iaas/Content/generative-ai/choose-method.htm): Discover the fine-tuning methods supported by Generative AI on OCI and how to choose the right one.
+- [Sample Fine-Tuning Dataset](https://huggingface.co/datasets/gbharti/finance-alpaca): Access a sample dataset for fine-tuning Generative AI models, specifically in the finance domain.
 
 # License
 

ai/generative-ai-service/llm-comparator/files/README.md

@@ -124,9 +124,9 @@ The project includes a utility script for converting datasets to OCI Generative
 
 ### Dataset Format Conversion (`format_dataset\dataset_to_oci_format.py`)
 
-**Purpose**: Converts standard instruction-following datasets to OCI-compatible JSONL format.
+**Purpose**: Converts standard instruction-following datasets (e.g., [gbharti/finance-alpaca](https://huggingface.co/datasets/gbharti/finance-alpaca) on Hugging Face) to OCI-compatible JSONL format.
 
-**Input Format** (e.g., `finance_data.json`):
+**Input Format** (e.g., `finance_data.json` in JSON format):
 ```json
 [
   {
@@ -265,4 +265,4 @@ ModuleNotFoundError: No module named 'langchain_community'
 
 - **API Keys**: Store OCI credentials securely
 - **Network Security**: Use HTTPS endpoints only
-- **Access Control**: Implement proper OCI IAM policies
+- **Access Control**: Implement proper OCI IAM policies