LLM Fine-Tuning Guide: PEFT, LoRA & QLoRA
Content1 Key Takeaways2 Key Concepts You Must Understand First3 Decision Checklist: Do You Really Need Fine-Tuning?4 When and When Not to Fine-Tune an LLM5 The LLM Fine-Tuning Workflow6 Example PEFT…
Install and Configure Coolify on Ubuntu
Content1 Key Takeaways2 What Is Coolify and Why Should You Use It?3 Key Features of Coolify4 Choosing the Right Deployment Model: Local, Cloud, and Multi-Server Setups5 Prerequisites6 Step 1 —…
vLLM Model Loading on Kubernetes: Caching Strategies
Content1 Key Takeaways2 Key vLLM Model Loading and Caching Considerations3 Model Sources: Understanding vLLM Model Source Options4 Model Caching Strategy Survey5 Comparison Summary6 Making the Decision: Selecting the Right Model…
Fara-7B: Computer Use Agents with Synthetic Data
Content1 What This Article Covers2 Key Takeaways3 FaraGen: Data Generation for Computer Use Agents4 Fara-7B5 Evaluating Fara-7B6 Running Fara-7B to Automate Computer Tasks7 Final Thoughts Vijona24 Jun at 16:06 How…
Deploy vLLM on Kubernetes with Shared NFS Storage
Content1 Key Takeaways2 The Problem: Why Downloading Models on Every Startup Hurts3 The Solution: Download Once and Run Inference Everywhere4 Architecture Overview5 Prerequisites6 Step 1: Set Up the Infrastructure7 Step…
Set Up an Application Server on Ubuntu 24.04
Content1 Key Takeaways2 Prerequisites3 Step 1 — Updating System Packages4 Step 2 — Installing Nginx as a Reverse Proxy5 Step 3 — Configuring the Firewall6 Step 4 — Setting Up…
n8n Workflow Automation: Open-Source Guide
Content1 Key Takeaways2 What Is n8n?3 How n8n Works4 Core Components of n8n5 Connecting with n8n on a Virtual Server: Quick Setup6 Using Pre-Built Workflow Templates in n8n7 n8n Deployment…
Web Grounding for LLMs with Python
Content1 Web Grounding Workflow2 Key Takeaways3 Step 1 — Getting Your API Keys4 Step 2 — Setting Up Your Environment5 Step 3 — Identifying Whether a Prompt Requires Web Grounding6…
QwenLong-L1.5: Long-Context AI Reasoning
Content1 Key Takeaways2 What Is QwenLong-L1.5?3 Why Long-Context Post-Training Matters4 Core Innovations in QwenLong-L1.55 QwenLong-L1.5 Performance6 Why Run QwenLong-L1.5 on Cloud GPUs?7 Step 1: Create a Cloud GPU Server8 Step…


