deps(lora): bump the lora-deps group across 1 directory with 18 updates

ai-projects/lora-training/microsoft_phi-silica-3.6_v1/azure-requirements.txt

@@ -1,11 +1,11 @@
 # Azure Machine Learning SDK
-azure-ai-ml>=1.34.0
+azure-ai-ml>=1.34.1
 azure-identity>=1.25.3
 azure-core>=1.41.0
 
 # Core dependencies (if not already installed)
-azure-storage-blob>=12.30.0
+azure-storage-blob>=12.30.1
 azure-monitor-opentelemetry>=1.8.9
 
 # Optional: For advanced features
-mlflow>=3.14.0
+mlflow>=3.15.2

ai-projects/lora-training/microsoft_phi-silica-3.6_v1/local_train/requirements.txt

@@ -2,15 +2,15 @@
 # No Azure dependencies - just core ML libraries
 
 # Core ML frameworks
-torch>=2.13.0
-transformers>=5.13.0
-peft>=0.19.1
-datasets>=5.0.0
+torch>=2.14.0
+transformers>=5.16.1
+peft>=0.20.0
+datasets>=5.0.1
 accelerate>=1.14.0
 
 # Utilities
 pyyaml>=6.0.3
-tqdm>=4.68.4
+tqdm>=4.70.0
 
 # Optional: Quantization support (for 4bit/8bit training)
 # Uncomment if using use_4bit or use_8bit in config:

ai-projects/lora-training/microsoft_phi-silica-3.6_v1/requirements-advanced.txt

@@ -2,33 +2,33 @@
 # Install with: pip install -r requirements-advanced.txt
 
 # Semantic search and document embedding
-sentence-transformers>=5.6.0
+sentence-transformers>=6.0.1
 
 # Evaluation metrics
 rouge-score>=0.1.2
 sacrebleu>=2.6.0
 # Security pin: avoid vulnerable NLTK 3.9.4 (path traversal); keep within current major.
-nltk>=3.10.0,<4
+nltk>=3.10.3,<4
 
 # Memory optimization
-bitsandbytes>=0.49.2
+bitsandbytes>=0.50.2
 
 # GPU optimization (Linux only - fails gracefully on Windows)
 # flash-attn>=2.3.0
 
 # Visualization
-matplotlib>=3.11.0
+matplotlib>=3.11.1
 seaborn>=0.13.2
-scipy>=1.18.0
+scipy>=1.18.1
 
 # Model serving & deployment
-fastapi>=0.139.0
-uvicorn[standard]>=0.51.0
-pydantic>=2.13.4
+fastapi>=0.141.1
+uvicorn[standard]>=0.52.4
+pydantic>=2.13.5
 
 # Model export
 onnx>=1.22.0
-onnxruntime>=1.27.0
+onnxruntime>=1.29.0
 
 # Experiment tracking (optional)
 # mlflow>=2.8.0

ai-projects/lora-training/microsoft_phi-silica-3.6_v1/requirements.txt

@@ -1,12 +1,12 @@
 # Fine-tuning requirements for microsoft_phi-silica-3.6_v1
 pyyaml>=6.0.3
-datasets>=5.0.0
-transformers>=5.13.0
-peft>=0.19.1
+datasets>=5.0.1
+transformers>=5.16.1
+peft>=0.20.0
 accelerate>=1.14.0
-tqdm>=4.68.4
+tqdm>=4.70.0
 einops>=0.8.2
-numpy>=2.5.1
+numpy>=2.5.2
 # Install torch appropriate to your CUDA; example:
 # pip install torch --index-url https://download.pytorch.org/whl/cu121