Learn the top 10 AI and machine learning concepts every developer should know in 2025. From model parameters and quantization to RAG, inference, and guardrails, this guide breaks down the essentials for building AI-powered apps.
Looking for the best Udemy AI course in 2025? In this post, I will recommend my top three options for LLM engineering and AI Agents that you should enroll in this year.
What does it mean when an open source AI model has 2B, 7B, or 40B parameters? Learn how parameter count affects performance, hardware needs, and what developers and homelabbers should know before downloading and running these models.
Quantization makes it possible to run large AI models like 13B, 30B, and even 40B on consumer GPUs. Learn what quantization is, why it matters for homelabbers, and the benefits of using 4-bit or 8-bit models.
Discover the 8 best AI books for developers and software engineers in 2025 from machine learning foundations to LLM engineering and AI ethics.
Unlock the full potential of your coding workflow with Claude Code. This blog post dives into 15 essential Claude Code commands and features that every developer should master to enhance productivity, streamline tasks, and revolutionize their interaction with AI-powered development.