Git Fetch vs Git Pull: Key Differences Explained
Learn the key differences between git fetch and git pull, with clear explanations and examples to help you choose the right command for your workflow.
Hi - I'm Travis
👨💻 I'm a self-taught Software Developer and DevOps Engineer.
🎥 I'm also a YouTuber and owner of this fancy blog you're visiting.
🏙 I also run a Coding Community to help you fill the gaps in your learning.
➡️ FREE DEVELOPER GUIDE ⬅️
Download my insightful guide on what skills YOU as a DEVELOPER, need to cultivate to stay relevant in this AI explosion.
- What are skills you can acquire that AI cannot replace?
- Should you best prepare by specializing in a particular niche or becoming a robust generalist?
- What are some book recommendations or resources that you can use NOW to get ahead?
- It's all here 👇
Latest posts
View all posts »
6 Career Truths for Tech Workers in the AI Era
AI is reshaping tech careers. Here are six career truths every developer and tech worker should know to stay grounded and thrive in the AI era.
AI Model Parameters Explained: 2B vs 7B vs 40B and Beyond
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.
What Is AI Model Quantization? Run Big Models on Small GPUs
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.
