diff --git a/.github/CodeQL Analysis.yml b/.github/CodeQL Analysis.yml
index 8b1378917..e69de29bb 100644
--- a/.github/CodeQL Analysis.yml	
+++ b/.github/CodeQL Analysis.yml	
@@ -1 +0,0 @@
-
diff --git a/.github/agent.md b/.github/agent.md
index 8b1378917..e69de29bb 100644
--- a/.github/agent.md
+++ b/.github/agent.md
@@ -1 +0,0 @@
-
diff --git a/ai-projects/lora-training/microsoft_phi-silica-3.6_v1/local_train/requirements.txt b/ai-projects/lora-training/microsoft_phi-silica-3.6_v1/local_train/requirements.txt
index 5ee844960..fce0316df 100644
--- a/ai-projects/lora-training/microsoft_phi-silica-3.6_v1/local_train/requirements.txt
+++ b/ai-projects/lora-training/microsoft_phi-silica-3.6_v1/local_train/requirements.txt
@@ -10,7 +10,7 @@ accelerate>=1.14.0
 
 # Utilities
 pyyaml>=6.0.3
-tqdm>=4.68.3
+tqdm>=4.68.4
 
 # Optional: Quantization support (for 4bit/8bit training)
 # Uncomment if using use_4bit or use_8bit in config:
diff --git a/ai-projects/lora-training/microsoft_phi-silica-3.6_v1/requirements-advanced.txt b/ai-projects/lora-training/microsoft_phi-silica-3.6_v1/requirements-advanced.txt
index 7b6ed7a5f..837d41ed3 100644
--- a/ai-projects/lora-training/microsoft_phi-silica-3.6_v1/requirements-advanced.txt
+++ b/ai-projects/lora-training/microsoft_phi-silica-3.6_v1/requirements-advanced.txt
@@ -8,7 +8,7 @@ sentence-transformers>=5.6.0
 rouge-score>=0.1.2
 sacrebleu>=2.6.0
 # Security pin: avoid vulnerable NLTK 3.9.4 (path traversal); keep within current major.
-nltk>=3.9.5,<4
+nltk>=3.10.0,<4
 
 # Memory optimization
 bitsandbytes>=0.49.2
diff --git a/ai-projects/lora-training/microsoft_phi-silica-3.6_v1/requirements.txt b/ai-projects/lora-training/microsoft_phi-silica-3.6_v1/requirements.txt
index 701a2254b..95bbd5352 100644
--- a/ai-projects/lora-training/microsoft_phi-silica-3.6_v1/requirements.txt
+++ b/ai-projects/lora-training/microsoft_phi-silica-3.6_v1/requirements.txt
@@ -4,7 +4,7 @@ datasets>=5.0.0
 transformers>=5.13.0
 peft>=0.19.1
 accelerate>=1.14.0
-tqdm>=4.68.3
+tqdm>=4.68.4
 einops>=0.8.2
 numpy>=2.5.1
 # Install torch appropriate to your CUDA; example: