Large Language Models (LLMs)
A collection of resources, tutorials, and articles about Large Language Models (LLMs).
Articles
How to Run Qwen 3.5 Locally on a Single GPU: Step-by-Step Guide
Fine-Tuning Qwen3.5 Small With QLoRA For News Classification
How to Run Qwen 3.5 Locally on a Single GPU: Step-by-Step Guide
Run Qwen3-Coder-Next Locally: Vibe Code an Analytics Dashboard
How to Run GLM-4.7 Locally with llama.cpp: A High-Performance Guide
How to Run Kimi K2 Locally: Complete Setup & Troubleshooting
GPT-4.1 Guide With Demo Project: Keyword Code Search Application
Fine-Tune Gemma 3: A Step-by-Step Guide With Financial Q&A Dataset
GPT-4.5 Function Calling Tutorial: Extract Stock Prices and News With AI
OpenAI o3-mini Tutorial: Building a Machine Learning Project with o3-mini
How to Deploy LLM Applications Using Docker: A Step-by-Step Guide
HumanEval: A Benchmark for Evaluating LLM Code Generation Capabilities
Anthropic Computer Use: Automate Your Desktop With Claude 3.5
RAG vs Fine-Tuning: A Comprehensive Tutorial with Practical Examples
Fine-Tuning Llama 3 and Using It Locally: A Step-by-Step Guide
Fine-Tune and Run Inference on Google's Gemma Model Using TPUs for Enhanced Speed and Performance
Fine Tuning Google Gemma: Enhancing LLMs with Customized Instructions
Getting Started With Claude 3 Opus That Just Destroyed GPT-4 and Gemini
Comprehensive Guide to Zephyr-7B: Features, Usage, and Fine-tuning
Mistral 7B Tutorial: A Step-by-Step Guide to Using and Fine-Tuning Mistral 7B
Introduction to Falcon 40B: Architecture, Training Data, and Features
Fine-Tuning LLaMA 2: A Step-by-Step Guide to Customizing the Large Language Model
Open Assistant: Explore the Possibilities of Open and Collaborative Chatbot Development
Dolly 2.0: ChatGPT Open Source Alternative for Commercial Use
ChatGPT and GPT-4 Open Source Alternatives that are Balancing the Scales
How Watermarking Can Help Mitigate The Potential Risks Of LLMs?