Getting Started with Hugging Face Transformers: A Practical Guide

In last blog we used Ollama to run a model locally and then wrote a python client to connect and talk to it. In this blog post we will explore what Transformers are, dive into the Hugging Face ecosystem, and build practical examples for text generation, translation, sentiment analysis, and image classification.

See the full article at medium here.

*Want to dive deeper? Check out our complete code examples in the GitHub repository and experiment with different models and tasks. The future of AI is in your hands!*

Building Your Own Local LLM: A Hands-On Journey

Why Build Your Own LLM Setup?

If you’re reading this, you’ve probably used ChatGPT, Claude, or another AI assistant. They’re incredibly powerful, but have you ever paused to think about what happens to your data when you hit “send”? Every query, every piece of code you share, every business idea you brainstorm—it all gets processed on someone else’s servers.

This isn’t just about privacy paranoia. It’s about understanding and controlling the technology that’s rapidly becoming essential to how we work and think.

Learning by Building

I’m a firm believer that the best way to understand something is to build it yourself. Reading documentation is great, watching tutorials helps, but nothing beats getting your hands dirty with actual code. If you’re like me—someone who needs to do to truly understand—then this series is for you.

Over the next few posts, we’ll embark on a journey from zero to a fully functional, private AI assistant running entirely on your local machine. No cloud dependencies, no data leaving your computer, just you and your own personal LLM.

Read More »

The Future of Software Development in the Age of AI: Decentralization, Evolution, and Uncertainty

Read the full Blog post on Medium here.

For decades, economic power has been concentrated in the hands of large corporations, elite universities, and industry gatekeepers. If you wanted to build software, process payments, or provide financial advice, you needed to work at a big company with access to the best tools, infrastructure, and expertise.

But that’s about to change. AI is democratizing knowledge-based industries just like the internet democratized media. Platforms like YouTube, Instagram, and TikTok broke the monopoly of Hollywood and traditional media, allowing independent creators to build personal brands and businesses. Now, AI is poised to do the same for software engineers, accountants, legal consultants, and financial advisors — removing barriers and allowing individuals to compete at levels previously reserved for billion-dollar corporations.

But does this signal a permanent shift in power, or is it just another cycle before centralization returns? In this article, we’ll explore how AI is reshaping software development, the evolving role of engineers, and the uncertainty of where this transformation leads.

Continue reading on Medium here.