[2024-01-15 14:23:45] [INFO] Starting GPT-Neo 2.7B training session
[2024-01-15 14:23:46] [INFO] Loading dataset: The Pile (800GB)
[2024-01-15 14:23:47] [INFO] Batch size: 32, Learning rate: 1e-4
[2024-01-15 14:24:12] [INFO] Epoch 1/10 - Step 1000/50000
[2024-01-15 14:24:12] [METRICS] Loss: 3.245, PPL: 25.67, LR: 1e-4
[2024-01-15 14:24:45] [INFO] Epoch 1/10 - Step 2000/50000
[2024-01-15 14:24:45] [METRICS] Loss: 2.891, PPL: 18.03, LR: 9.8e-5
[2024-01-15 14:25:23] [WARNING] GPU memory usage: 22.1GB/24GB (92%)
[2024-01-15 14:25:45] [INFO] Gradient clipping applied: max_norm=1.0
[2024-01-15 14:26:12] [INFO] Checkpoint saved: model_epoch1_step3000.pt
[2024-01-15 14:26:45] [METRICS] Loss: 2.654, PPL: 14.23, LR: 9.6e-5
[2024-01-15 14:27:23] [INFO] Validation accuracy: 71.2% (+2.1%)
                    

[2024-01-15 14:20:15] [INFO] YOLO-v8 inference pipeline started
[2024-01-15 14:20:16] [INFO] Processing video stream: rtmp://camera-01/live
[2024-01-15 14:20:17] [DETECTION] Frame 1045: 3 persons, 2 cars, 1 bicycle
[2024-01-15 14:20:17] [METRICS] Inference time: 28ms, FPS: 35.7
[2024-01-15 14:20:18] [DETECTION] Frame 1046: 4 persons, 1 car, 2 bicycles
[2024-01-15 14:20:18] [METRICS] Confidence scores: [0.92, 0.87, 0.94, 0.83]
[2024-01-15 14:20:19] [INFO] NMS threshold: 0.5, IoU threshold: 0.45
[2024-01-15 14:20:20] [ALERT] Unusual object pattern detected in sector B3
[2024-01-15 14:20:21] [INFO] Sending alert to security system
                    

[2024-01-15 14:28:00] [SYSTEM] GPU-0 (RTX A100): 89% utilization, 78°C
[2024-01-15 14:28:00] [SYSTEM] GPU-1 (RTX A100): 92% utilization, 81°C
[2024-01-15 14:28:00] [SYSTEM] CPU: 67% (32 cores), RAM: 248GB/512GB (48%)
[2024-01-15 14:28:00] [SYSTEM] Disk I/O: Read 2.1GB/s, Write 850MB/s
[2024-01-15 14:28:00] [NETWORK] Bandwidth: 1.2Gb/s in, 890Mb/s out
[2024-01-15 14:28:15] [METRICS] Model throughput: 1,247 tokens/sec
[2024-01-15 14:28:15] [METRICS] Batch processing: 92% efficiency
[2024-01-15 14:28:30] [WARNING] GPU memory fragmentation: 15%
[2024-01-15 14:28:45] [INFO] Auto-scaling triggered: +2 worker nodes
                    

[2024-01-15 14:25:00] [ANALYTICS] BERT-Large F1 Score: 93.2% (baseline: 91.8%)
[2024-01-15 14:25:00] [ANALYTICS] Stable Diffusion FID: 12.6 (target: <15.0)
[2024-01-15 14:25:00] [ANALYTICS] DQN Agent avg reward: 1,247 (24h window)
[2024-01-15 14:25:15] [ANALYTICS] CLIP zero-shot accuracy: 88.4% on ImageNet
[2024-01-15 14:25:15] [ANALYTICS] Transformer XL perplexity: 18.3 (improved)
[2024-01-15 14:25:30] [QUALITY] Data drift detected: 2.3% (acceptable)
[2024-01-15 14:25:30] [QUALITY] Model confidence scores within normal range
[2024-01-15 14:25:45] [OPTIMIZATION] Learning rate scheduled: 1e-4 → 8e-5
                    

[2024-01-15 14:15:23] [ERROR] GAN Generator: Mode collapse detected
[2024-01-15 14:15:24] [ERROR] Stack trace: discriminator_loss.backward()
[2024-01-15 14:15:24] [ERROR] Generator loss stuck at 0.847 for 500 iterations
[2024-01-15 14:15:25] [ACTION] Restarting training with adjusted hyperparameters
[2024-01-15 14:16:45] [ERROR] Genetic Algorithm: Population diversity < 0.1
[2024-01-15 14:16:46] [ERROR] Premature convergence in generation 245
[2024-01-15 14:16:46] [ACTION] Injecting random mutations (rate: 0.05 → 0.15)
[2024-01-15 14:18:12] [WARNING] Dataset loading timeout: LAION-5B shard 847
[2024-01-15 14:18:13] [INFO] Switching to backup data source
[2024-01-15 14:18:14] [RECOVERY] Connection restored, resuming normal operation
                    

[2024-01-15 14:20:00] [SECURITY] API rate limiting: 1,247 req/min (within limits)
[2024-01-15 14:20:00] [SECURITY] Authentication successful: user_ai_researcher_01
[2024-01-15 14:20:15] [AUDIT] Model weights integrity check: PASSED
[2024-01-15 14:20:15] [AUDIT] Data lineage tracking: 99.8% coverage
[2024-01-15 14:20:30] [COMPLIANCE] GDPR data retention policy enforced
[2024-01-15 14:20:30] [COMPLIANCE] Model bias evaluation: bias_score=0.03
[2024-01-15 14:20:45] [PRIVACY] Differential privacy: ε=1.2, δ=1e-5
[2024-01-15 14:21:00] [BACKUP] Model checkpoints replicated to 3 locations
                    

[2024-01-15 14:10:00] [PIPELINE] Starting batch processing: ImageNet-22K
[2024-01-15 14:10:01] [PIPELINE] Applied transforms: resize(224), normalize, augment
[2024-01-15 14:10:02] [PIPELINE] Batch 2,847/14,200 processed (20.1%)
[2024-01-15 14:10:15] [PIPELINE] Data validation: 99.7% samples passed quality check
[2024-01-15 14:10:30] [PIPELINE] Feature extraction: ResNet50 backbone
[2024-01-15 14:10:45] [PIPELINE] Embedding dimension: 2048, batch size: 256
[2024-01-15 14:11:00] [PIPELINE] Caching enabled: 73% cache hit ratio
[2024-01-15 14:11:15] [PIPELINE] Progress: 4.2TB processed, 0.8TB remaining
[2024-01-15 14:11:30] [PIPELINE] ETA: 2h 34m (based on current throughput)
                    

[2024-01-15 14:27:45] [INFERENCE] Model: GPT-Neo, Request ID: req_8472951
[2024-01-15 14:27:45] [INFERENCE] Input tokens: 127, Max output: 512
[2024-01-15 14:27:46] [INFERENCE] Generation time: 0.89s, Tokens/sec: 145
[2024-01-15 14:27:46] [INFERENCE] Response length: 89 tokens, Temperature: 0.7
[2024-01-15 14:27:50] [INFERENCE] Model: CLIP, Query: "sunset over mountains"
[2024-01-15 14:27:50] [INFERENCE] Retrieved 847 candidate images, Top-5 scores: [0.94, 0.91, 0.89, 0.87, 0.85]
[2024-01-15 14:27:55] [INFERENCE] Model: YOLO-v8, Video frame: 720p@30fps
[2024-01-15 14:27:55] [INFERENCE] Detected objects: person(0.95), car(0.89), dog(0.76)
                    

[2024-01-15 14:05:00] [EXPERIMENT] Starting Bayesian optimization: DQN hyperparams
[2024-01-15 14:05:01] [EXPERIMENT] Search space: lr[1e-5, 1e-3], gamma[0.9, 0.999]
[2024-01-15 14:05:02] [EXPERIMENT] Trial 23/100: lr=3.2e-4, gamma=0.95, eps=0.1
[2024-01-15 14:05:30] [EXPERIMENT] Trial 23 result: avg_reward=1,234, episodes=1000
[2024-01-15 14:05:31] [EXPERIMENT] Best so far: trial_18 with reward=1,291
[2024-01-15 14:06:00] [EXPERIMENT] Starting trial 24: lr=2.8e-4, gamma=0.98
[2024-01-15 14:06:45] [EXPERIMENT] Early stopping triggered: no improvement (15 trials)
[2024-01-15 14:06:46] [EXPERIMENT] Optimal config: lr=2.1e-4, gamma=0.97, eps=0.12
                    

[2024-01-15 12:00:00] [NAS] Neural Architecture Search completed (24h runtime)
[2024-01-15 12:00:01] [NAS] Evaluated 10,000 architectures, Top-1 accuracy: 94.7%
[2024-01-15 12:00:02] [NAS] Best architecture: EfficientNet-B7 variant
[2024-01-15 12:00:03] [NAS] Parameters: 66M, FLOPs: 37B, Inference: 12ms
[2024-01-15 12:00:04] [NAS] Improvements: +2.3% accuracy, -15% parameters
[2024-01-15 12:00:05] [NAS] Architecture exported: /models/nas_best_arch.json
[2024-01-15 12:00:06] [NAS] Starting training with discovered architecture
[2024-01-15 14:30:00] [NAS] Training progress: 87% complete, ETA: 3h 15m