Welcome to NetForge

Empowering Developers Through Neural Code

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Neural Network Tutorials

Structured, hands-on guides using TensorFlow, PyTorch, and Keras with real application focus.

JS & AI Integration

Best practices for connecting neural models with front-end tools like React, Vue, and Angular.

API Creation for AI Models

Build RESTful and GraphQL APIs for serving your trained models using Node.js or Flask.

Dockerized AI Environments

Step-by-step setups for reproducible ML environments with Docker and Docker Compose.

Optimization & Performance Tuning

Learn to reduce model latency, lower memory usage, and scale efficiently.

CI/CD for Neural Projects

Automate training, testing, and deployment pipelines with GitHub Actions or GitLab CI.

About Us

Where Neural Theory Meets Practical Code

NetForge is a technical blog crafted by a professional full-stack developer turned AI engineer. We specialize in combining traditional web development with the latest neural network architectures, offering content that’s both deep and actionable.

Whether you’re building an AI-powered web app, integrating LLMs into your backend, or experimenting with GANs, we deliver proven methods, open-source examples, and real-world case studies.

Our philosophy is grounded in clarity, simplicity, and modern engineering best practices. No fluff — only high-impact knowledge from the field.

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Pricing Plans

Scalable Access for Every Developer

$0/month

Starter

Access 8 articles/month
Join public Discord
Download 3 code snippets

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$19/month

Professional

Unlimited reading
Full code repository access
Priority article requests

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$79/month

Enterprise

All Pro features
Team license for up to 10 users
Quarterly 1-on-1 consulting call

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Testimonial

Trusted by Engineers and Creators

No-nonsense content. This is one of the few resources I trust when shipping neural apps.

David S.

AI Architect

Their explanation of vector databases and embeddings helped me finally build a search engine for my data.

Liam B.

Backend Developer

Perfect balance of frontend integration and AI logic. Helped me launch a full-stack AI MVP.

Amanda R.

Software Engineer

I use their Docker guides in my lab. It's the first time I feel deployment is not a headache.

Natalie J.

ML Researcher

Blog

Latest Insights in Neural Development and Full-Stack AI

How to Fine-Tune a GPT Model with Your Own Data

Step-by-step guide for customizing open-source LLMs like LLaMA or Mistral using JSON, CSV, and real datasets.

Deploying Stable Diffusion on a React Frontend

Build your own image-generation app using Stable Diffusion, Node.js backend, and a clean React interface.

Vector Databases: Pinecone vs Weaviate vs Qdrant

A developer-focused comparison for choosing the right vector database for AI-powered search in production.