Bob's AI Lab

Welcome to Bob’s AI Lab

Welcome to my personal playground for exploring the fascinating world of artificial intelligence! I’ve created this space—Bob’s AI Lab—as a hub for deep learning, experimentation, and discovery. My goal is to dive as deeply as possible into AI’s potential, uncovering how it shapes real-world applications and empowers innovation. This lab isn’t just about code or algorithms—it’s about understanding how AI intersects with everyday life, from art and creativity to problem-solving and beyond. Whether you’re a curious learner, a fellow AI enthusiast, or just someone intrigued by the future of technology, I invite you to join me on this journey. Let’s explore, learn, and push the boundaries of what AI can achieve—together.

Projects in Bob’s AI Lab

• Model Hosting using Ollama
  Self-hosting models via Ollama allows me to run large language models and vision models locally, avoiding cloud dependencies. This setup prioritizes speed, privacy, and customization, letting me experiment with model configurations and inference settings. By hosting models on my lab hardware, I can tailor their performance to specific tasks while maintaining full control over their execution. It’s a foundation for building scalable, self-sufficient AI applications.
• LLM Model Tuning/Training
  My self-hosted lab enables me to fine-tune large language models for specific tasks, balancing performance with resource efficiency. I focus on adapting pre-trained models to niche domains like coding, technical documentation, or creative writing, ensuring they align with real-world use cases. By experimenting with hyperparameters and training data, I aim to create models that are both accurate and adaptable to my workflow. This project is all about unlocking the potential of LLMs through customization.
• Image and Video Generation using ComfyUI
  Self-hosted on my lab hardware, this project explores the creative and technical possibilities of AI-generated visuals. I leverage ComfyUI’s node-based workflow to experiment with different models, styles, and prompts, pushing the boundaries of what AI can create. By fine-tuning parameters and integrating custom nodes, I aim to build a versatile toolkit for artistic and practical applications. This setup allows me to maintain full control over the generation process without relying on external platforms.
• AI Studio using OpenWebUI
  This self-hosted AI Studio serves as a centralized hub for experimenting with various AI tools, from text generation to image creation. Built with OpenWebUI, it provides a user-friendly interface to manage workflows, deploy models, and visualize results without coding. The lab’s hardware allows me to run this studio locally, ensuring privacy and flexibility in my experiments. It’s a space where I can rapidly prototype ideas and test how different AI systems interact.
• AI Agent Workflows using N8N
  My self-hosted N8N setup enables me to design and automate complex AI workflows, connecting tools like LLMs, image generators, and data processors. By orchestrating these agents, I aim to create systems that handle tasks like content creation, data analysis, or decision-making with minimal human intervention. The lab’s hardware ensures these workflows run efficiently, even with resource-intensive processes. This project highlights how AI agents can streamline real-world problem-solving.