Update examples README to reflect new notebooks and scripts for OSFT

Signed-off-by: Mustafa Eyceoz <[email protected]>

Author: Maxusmusti

examples/README.md

@@ -48,6 +48,18 @@ The OSFT algorithm supports continual training of pre-trained or instruction-tun
 **Documentation:**
 - [OSFT Usage Guide](docs/osft_usage.md) - Comprehensive usage documentation with parameter reference and examples
 
+**Tutorials:**
+- [OSFT Comprehensive Tutorial](notebooks/osft_comprehensive_tutorial.ipynb) - Interactive notebook covering all OSFT parameters with popular model examples
+- [OSFT Continual Learning](notebooks/osft_continual_learning.ipynb) - Interactive notebook demonstrating continual learning capabilities
+- [OSFT Multi-Phase Training Tutorial](notebooks/osft_multiphase_training_tutorial.ipynb) - Interactive notebook demonstrating OSFT multi-phase training workflow
+
+**Scripts:**
+- [OSFT Multi-Phase Training Script](scripts/osft_multiphase_training.py) - Example script for OSFT multi-phase training with full command-line interface
+- [OSFT with Qwen 2.5 7B](scripts/osft_qwen_example.py) - Single-node multi-GPU training example with Qwen 2.5 7B Instruct
+- [OSFT with Llama 3.1 8B](scripts/osft_llama_example.py) - Single-node multi-GPU training example with Llama 3.1 8B Instruct
+- [OSFT with Phi 4 Mini](scripts/osft_phi_example.py) - Single-node multi-GPU training example with Phi 4 Mini Instruct
+- [OSFT Continual Learning Example](scripts/osft_continual_learning_example.py) - Example script demonstrating continual learning without catastrophic forgetting
+
 **Quick Example:**
 ```python
 from training_hub import osft