TildAlice – Tech Blog for Developers
Python, AI, Deep Learning, Data Analysis, Computer Vision, Reinforcement Learning โ tips and tutorials
Latest Posts
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SimCLR vs CLIP: Why Contrastive Learning Failed in Prod
SimCLR hit 89% accuracy but burned $50K in GPU costs. CLIP served 2000 QPS at 45ms. Real latency benchmarks and the trade-offs papers don't mention.
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vLLM OutOfMemoryError with Llama 3.1 70B: 3 Fixes
Fix vLLM OutOfMemoryError when deploying Llama 3.1 70B with tensor parallelism, quantization, and KV cache tuning on multi-GPU setups.
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Markowitz to Deep Portfolio: Migration in 3 Refactors
Modernize portfolio optimization from Markowitz theory to deep learning in 3 strategic refactors. Transform classical finance code step-by-step.
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MLflow vs Kubernetes Native Model Registry: Speed & Cost
MLflow takes 12s to load models from S3. Kubernetes native registries do it in 1.8s. Here's the $60/month cost difference and when each wins.
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pip vs conda vs Poetry: Speed & Reliability Benchmarks
Compare pip, conda, and Poetry performance across install speed, disk usage, and reliability. Real benchmarks reveal surprising winners for each metric.
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Ollama vs llama.cpp: 7B Model Speed on M1 MacBook
Benchmark Ollama vs llama.cpp running 7B models on M1 MacBook. Which framework delivers faster inference? Real performance data inside.
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LoRA vs Full Fine-Tuning: Cost-Accuracy Trade-offs
LoRA cuts fine-tuning cost 6.5x but loses 2-3% accuracy. Here's when that trade-off breaks your interview demo โ with GPU memory benchmarks.
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Free vs Paid Stock APIs: Real Cost at 10K-1M Requests
Compare free vs paid stock APIs and discover hidden costs at scale. Find the best provider for 10K-1M requests with real pricing breakdown.