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Ahmed ElnaggarApr 27, 2026 • 11 min read
Fine-Tune Any HuggingFace Model like Gemma on TPUs with TorchAX
Learn how to fine-tune PyTorch HuggingFace models on Google TPUs using torchax and LoRA — no JAX rew...
#machinelearning#pytorch#python#tutorial
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Samuel KomfiApr 29, 2026 • 9 min read
What Google's New Chips Mean If You Train Your Own Models
This is a submission for the Google Cloud NEXT Writing Challenge Google just shipped two fully...
#devchallenge#cloudnextchallenge#googlecloud#pytorch
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Muhammad umair akramMay 1, 2026 • 10 min read
Why CRNN is overkill for fixed-length CAPTCHA OCR — a 6-digit case study (100% Accuracy)
Most automation projects in regulated industries hit the same wall eventually: a CAPTCHA on an...
#machinelearning#python#computervision#pytorch
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Elise MoreauApr 27, 2026 • 4 min read
Why Your Diffusion Model Is Slow at Inference (And It's Not the UNet)
TL;DR: Most inference bottlenecks in diffusion pipelines are not in the UNet denoising loop. They ar...
#machinelearning#pytorch#computervision#mlops
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ANKUSH CHOUDHARY JOHALApr 28, 2026 • 13 min read
Deep Dive: How PyTorch 2.5’s Compiled Mode Speeds Up Inference on AWS Inferentia 3
\n In Q3 2024 benchmarks, PyTorch 2.5’s compiled mode delivered 3.2x higher inference throughput on...
#deep#dive#pytorch#compiled
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ANKUSH CHOUDHARY JOHALMay 1, 2026 • 14 min read
Code LLM Training Cost: PyTorch 2.6 vs. JAX 0.4.30 vs. TensorFlow 2.17 for Fine-Tuning Llama 3.4 7B
Fine-tuning Llama 3.4 7B on 8x NVIDIA H100 GPUs costs $42.17 per hour on AWS EC2, but framework...
#code#training#cost#pytorch
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ANKUSH CHOUDHARY JOHALApr 28, 2026 • 20 min read
Benchmark: PyTorch 2.5 vs. TensorFlow 2.18 for Training Vision Transformers on 8x H100 GPUs
\n Training a Vision Transformer (ViT-B/16) on ImageNet-21K used to take 3 days on 8x A100 GPUs. On...
#benchmark#pytorch#tensorflow#training
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ANKUSH CHOUDHARY JOHALApr 28, 2026 • 14 min read
Benchmark: PyTorch 2.4 vs. TensorFlow 2.17: Image Classification Accuracy 2026
In 2026, image classification models trained on PyTorch 2.4 achieved a 2.1% higher top-1 accuracy on...
#benchmark#pytorch#tensorflow#image
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ANKUSH CHOUDHARY JOHALApr 29, 2026 • 17 min read
How to Set Up MLOps with MLflow 2.10 and PyTorch 2.5 for Llama 3.2 Fine-Tuning
In 2024, 68% of enterprises running LLM fine-tuning pipelines report losing $12k+ monthly to...
#mlops#mlflow#pytorch#llama
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ANKUSH CHOUDHARY JOHALApr 29, 2026 • 13 min read
Internals: PyTorch 2.5.0's 2026 Optimizations vs. TensorFlow 2.17.0 for Computer Vision
In 2026, computer vision (CV) workloads account for 62% of all production ML inference spend, up fro...
#internals#pytorch#250s#2026
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ANKUSH CHOUDHARY JOHALApr 28, 2026 • 17 min read
We Ditched TensorFlow for PyTorch 2.5 and Cut Our Model Training Time by 35%
In Q3 2024, our 12-person ML engineering team at a Series C fintech hit a wall: our TensorFlow 2.16....
#ditched#tensorflow#pytorch#model
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ANKUSH CHOUDHARY JOHALMay 1, 2026 • 15 min read
Benchmark: PyTorch 2.4 vs. TensorFlow 2.18 vs. JAX 0.5 for 100 Epochs
Training a ResNet-50 on ImageNet for 100 epochs takes 4.2 hours on PyTorch 2.4, 5.1 hours on...
#benchmark#pytorch#tensorflow#epochs
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ANKUSH CHOUDHARY JOHALApr 28, 2026 • 16 min read
How to Fine-Tune a LLM with PyTorch 2.5 and Hugging Face
In 2024, 72% of enterprises deploying LLMs rely on fine-tuned open-source models to cut inference...
#finetune#pytorch#hugging#face
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