My GenAI Blogs

Why GenAI?

Generative AI has completely changed how I think about software, creativity, and problem-solving. Over the past year, I've gone deep into the world of large language models, prompt engineering, retrieval-augmented generation, fine-tuning, and AI agents. The pace of change is incredible, and I wanted a place to document what I'm learning as I go.

This blog is that place. I'll be writing about my hands-on experiences with GenAI, the tools I'm experimenting with, things that worked, things that didn't, and the lessons I've picked up along the way.

What I've Been Exploring

My GenAI journey started with using ChatGPT and Claude for day-to-day coding tasks. That quickly evolved into deeper exploration:

• Prompt engineering — learning how to get consistent, high-quality outputs from LLMs by structuring prompts effectively.
• RAG (Retrieval-Augmented Generation) — building pipelines that ground LLM responses in real data using vector databases and embeddings.
• Fine-tuning — adapting pre-trained models for specific tasks and domains.
• AI agents — creating autonomous workflows where LLMs can use tools, reason through multi-step problems, and take actions.
• Local models — running open-source models like LLaMA and Mistral locally to understand how they work under the hood.

I'm not just reading about these topics. I'm building with them, breaking things, and learning from the results.

What to Expect

I plan to post at least one article a week covering topics like:

• Practical tutorials on building GenAI applications
• Comparisons of different models and frameworks
• Deep dives into concepts like embeddings, tokenization, and attention mechanisms
• Real-world use cases and project walkthroughs
• Opinions on where GenAI is heading and what matters for developers

Some posts will be short and focused, others will be longer walkthroughs. The goal is to share useful, honest content from a developer's perspective.

Let's Go

I'm excited to start writing and sharing. GenAI is moving fast, and the best way to keep up is to build, experiment, and document. That's exactly what this blog is for.