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No hype — just clean code and practical workflows for neural network developers.
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Practical AI, clean code, no filler. That’s why developers choose Netflux.
Netflux is crafted by engineers who work with real data, train real models, and deploy to real systems. We don’t waste time on theory that no one uses. We document what works, what breaks, and what scales. Our content is concise, technical, and tested. Whether you're debugging an LSTM or containerizing a fine-tuned BERT, we’ve likely done it — and we’ve blogged it.
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Blog
Mastering Tensor Architectures
Explore how modern tensor-based models like Transformer XL and Mamba are reshaping neural processing efficiency.
Debugging Neural Nets in Production
A practical guide to tracing, profiling, and resolving issues in live neural network deployments.
Prompt Engineering for LLMs
Learn advanced techniques to structure prompts for maximum precision and creativity in large language models.
About Us
Netflux: Code Meets Intelligence
We are a developer-led blog focused on modern neural network stacks. Founded by software engineers who deploy AI daily, our goal is to bridge the gap between theory and real-world implementation. Whether you're training transformers, building embeddings, or optimizing pipelines — we guide you step by step with real examples, tools, and configs.
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Everything you need to work with neural networks, from zero to prod.
Testimonials
No vague theories — just clean explanations and working code.
Michael R.
ML EngineerFeels like a toolbox. From PyTorch tips to Docker — very clear.
Sarah T.
Data ScientistWhether you're debugging a loop or optimizing inference — this blog helps.
Daniel K.
Software DeveloperStruggled with GANs — now I get it. Clear visuals and examples.
