From f6cf6154ae1e594a95fdf7841e231e54f751ea45 Mon Sep 17 00:00:00 2001
From: papriwal <papriwal@amazon.com>
Date: Wed, 3 Dec 2025 16:09:55 -0800
Subject: [PATCH 1/2] Update README for model customization launch

---
 README.rst | 48 +++++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 47 insertions(+), 1 deletion(-)

diff --git a/README.rst b/README.rst
index 7482dd5667..369bfdf815 100644
--- a/README.rst
+++ b/README.rst
@@ -409,4 +409,50 @@ SageMaker V2 Examples
 #. `SageMaker Autopilot <src/sagemaker/automl/README.rst>`__
 #. `Model Monitoring <https://sagemaker.readthedocs.io/en/stable/amazon_sagemaker_model_monitoring.html>`__
 #. `SageMaker Debugger <https://sagemaker.readthedocs.io/en/stable/amazon_sagemaker_debugger.html>`__
-#. `SageMaker Processing <https://sagemaker.readthedocs.io/en/stable/amazon_sagemaker_processing.html>`__
\ No newline at end of file
+#. `SageMaker Processing <https://sagemaker.readthedocs.io/en/stable/amazon_sagemaker_processing.html>`__
+
+🚀 Model Fine-Tuning Support Now Available in V3
+-------------------------------------------------
+
+We're excited to announce model fine-tuning capabilities in SageMaker Python SDK V3!
+
+**What's New**
+
+Four new trainer classes for fine-tuning foundation models:
+
+* SFTTrainer - Supervised fine-tuning
+* DPOTrainer - Direct preference optimization  
+* RLAIFTrainer - RL from AI feedback
+* RLVRTrainer - RL from verifiable rewards
+
+**Quick Example**
+
+.. code:: python
+
+    from sagemaker.train import SFTTrainer
+    from sagemaker.train.common import TrainingType
+
+    trainer = SFTTrainer(
+        model="meta-llama/Llama-2-7b-hf",
+        training_type=TrainingType.LORA,
+        model_package_group_name="my-models",
+        training_dataset="s3://bucket/train.jsonl"
+    )
+
+    training_job = trainer.train()
+
+**Key Features**
+
+✨ LoRA & full fine-tuning  
+📊 MLflow integration with real-time metrics  
+🚀 Deploy to SageMaker or Bedrock  
+📈 Built-in evaluation (11 benchmarks)  
+☁️ Serverless training  
+
+**Get Started**
+
+.. code:: python
+
+    pip install sagemaker>=3.1.0
+
+📓 [Example notebooks](https://github.com/aws/sagemaker-python-sdk/tree/master/v3-examples/model-customization-examples)
\ No newline at end of file

From e5e92fd9e605f400a2c607a12b5021f568a7ec12 Mon Sep 17 00:00:00 2001
From: papriwal <papriwal@amazon.com>
Date: Wed, 3 Dec 2025 16:15:00 -0800
Subject: [PATCH 2/2] Fix link on example notebooks link on README

---
 README.rst | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/README.rst b/README.rst
index 369bfdf815..0040ad7bab 100644
--- a/README.rst
+++ b/README.rst
@@ -443,11 +443,11 @@ Four new trainer classes for fine-tuning foundation models:
 
 **Key Features**
 
-✨ LoRA & full fine-tuning  
-📊 MLflow integration with real-time metrics  
-🚀 Deploy to SageMaker or Bedrock  
-📈 Built-in evaluation (11 benchmarks)  
-☁️ Serverless training  
+* ✨ LoRA & full fine-tuning  
+* 📊 MLflow integration with real-time metrics  
+* 🚀 Deploy to SageMaker or Bedrock  
+* 📈 Built-in evaluation (11 benchmarks)  
+* ☁️ Serverless training  
 
 **Get Started**
 
@@ -455,4 +455,4 @@ Four new trainer classes for fine-tuning foundation models:
 
     pip install sagemaker>=3.1.0
 
-📓 [Example notebooks](https://github.com/aws/sagemaker-python-sdk/tree/master/v3-examples/model-customization-examples)
\ No newline at end of file
+`📓 Example notebooks <https://github.com/aws/sagemaker-python-sdk/tree/master/v3-examples/model-customization-examples>`__
\ No newline at end of file