A developer with over 25 years of experience in web technologies is transitioning into AI engineering to move beyond using tools and understand how to build with them.
- The author aims to create a truly offline AI setup by exploring local models, GGUF formats, and portable hardware.
- Key learning goals include mastering prompting techniques, understanding when to use RAG versus fine-tuning, and building private workflows.
- Specific areas of interest encompass coding models, multimodal systems, and optimizing model deployment on desktop or USB/SSD setups.