The practical hub for AI Builders, helping you learn industry-level AI/ML Engineering the right way!
To understand it, you have to build it!
The Neural Bits initiative is dedicated to covering the AI/ML Engineering niche, with a sharp focus on unpacking every aspect of building robust, end-to-end AI Systems.
The motivation is simple:
0. You want to become an AI Engineer.
1. You want to learn and build with AI.
- 2. High-quality, hands-on resources are often scarce.
3. You search for practical books, courses, and tutorials.
- 4. They can be high-level, incomplete, or expensive.
5. You eventually find some resources, but still hit roadblocks.
- 6. There's no one truly guiding you step by step through complex implementations.
+ 7. That's where Neural Bits comes in.At Neural Bits, my goal is to equip you with the practical knowledge and tools needed for real-world AI/ML engineering. Here, you'll discover:
- Comprehensive Walkthroughs, Code & Tutorials
- End-to-End AI/ML Engineering Courses
- AI at the Edge & Cloud
- Advanced AI Engineering Practices
The Neural Bits Ecosystem
This GitHub organization is a core part of the larger Neural Bits ecosystem, designed to provide you with a complete learning experience:
- Code Resources
- In-depth Articles
- Video Tutorials
Tip
The expertise behind Neural Bits sums up ~9 years of working across AI Research, Engineering, and ML Operations on multiple Deep Learning/GenAI projects.
To ensure smooth navigation throughout the repositories, check the following table: 🔽
| Topic | Description | Source |
|---|---|---|
| End-to-End Vision Agentic System | A complex system including data pipelines, annotation, QAs, MLOps, Model Distillation, Finetuning, Optimizing, Evaluating, Deploying and Monitoring, following best MLOps Practices | Soon |
| Multi-Modal RAG System | A complex system solving a real-world problem using multiple modalities, LLMs, RAG, LLMOps and more | Soon |
| Module | Description | Resources |
|---|---|---|
| Generative AI | Tutorials and courses on building LLM/VLM/RAG-powered applications. | |
| Production Deployments | Tutorials and concepts on efficient model optimization for production environments. | 🚀 Production Hub |
| Computer Vision | Projects on Computer Vision, including Object Detection, Object Segmentation, Classification and more | 🚀 Computer Vision Hub |
| AI Programming Languages | Tutorials on AI Programming Languages (Mojo, Triton, JAX, JIT, Numba, Cython) | 🚀 AI Programming Hub |
| MLOps | Practical MLOps applied to data-intensive deep learning systems |
Note
Deep Learning Systems don't have to be complex, you just need the right resources -> get access to expert insights, bit by bit, week by week!
To stay up to date:
- Subscribe to the Newsletter
- Follow Neural Bits on Github
- Connect with me ⏬
| Articles | Posts | Videos |
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