1d ago · 4 min read · When I first started learning PyTorch, one concept felt surprisingly confusing: The training loop — especially forward pass, loss, backpropagation, and optimizer steps. Over time, I realized somethi
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6d ago · 28 min read · TLDR: A pretrained LLM is a generalist. Fine-tuning makes it a specialist. Supervised Fine-Tuning (SFT) teaches it your domain's language through labeled examples. LoRA does the same with 99% fewer trainable parameters. RLHF shapes its behavior using...
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6d ago · 26 min read · TLDR: You don't need millions of labeled images or months of GPU time to build a great model. Transfer learning lets you borrow a pretrained network's hard-won feature detectors, plug in a new output head, and fine-tune on your small dataset — often ...
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Apr 13 · 5 min read · When a serialization format becomes a foundation project, it's no longer about technical convenience. It's about who controls the infrastructure layers that everyone else builds on top of. Hugging Face's Safetensors is joining the PyTorch Foundation....
Join discussionApr 8 · 3 min read · Hugging Face just announced that Safetensors is joining the PyTorch Foundation. If you dont know what Safetensors is, youre probably using it anyway. Its become the default serialization format for model weights across the ecosystem. The move matters...
Join discussionMar 24 · 4 min read · What do AI engineers hate most? Not hyperparameter tuning. Not waiting for GPUs. It's setting up a distributed training job on Kubernetes. PyTorchJob, TFJob, MPIJob, XGBoostJob, PaddleJob, JAXJob. Six CRDs, six YAML formats, six knowledge domains. Sw...
Join discussionMar 24 · 9 min read · PyTorch has emerged as an important device of machine learning and artificial intelligence. It is what businesses are currently using to create intelligent platforms that process information and make
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Mar 22 · 4 min read · Local LLM training has a dirty secret. Everyone talks about the magic of custom weights, but nobody talks about the grueling reality of babysitting PyTorch scripts. You set up your data, configure you
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