Large Language Models (LLMs)

A collection of resources, tutorials, and articles about Large Language Models (LLMs).

Articles

• The Best GPU Cloud Providers for LLM Training and Inference DataCamp

• How to Run Qwen3.8-Flash-Next Locally as a Coding Agent with OpenCode DataCamp

• Speed Up LLM Inference with DSpark Speculative Decoding KDnuggets

• Run Muse Glimmer for Local Vibe Coding with llama.cpp, DFlash, and Pi KDnuggets

• How to Run Qwen3.8-27B Locally on an NVIDIA RTX 5090 DataCamp

• Run Qwen3.8-27B as a Local AI Coding Agent in Just 3 Commands KDnuggets

• Gradient Checkpointing: Efficient Fine-Tuning with Unsloth and NVIDIA DataCamp

• How to Run Muse Glimmer 30B Locally for AI Coding DataCamp

• How to Run Thinking Machines’ Inkling Locally DataCamp

• How to Run Bonsai 27B Locally on 8GB Memory DataCamp

• How to Fine-tune DiffusionGemma on PubMedQA Using Unsloth DataCamp

• Quantization Aware Training: A Guide to Improving Gemma 4's Local Inference DataCamp

• Run DeepSeek-V4-Flash-0731 with Unsloth Studio and OpenCode DataCamp

• How to Run GLM-5.2 Locally Using RunPod and llama.cpp DataCamp

• How to Run Fable 5-Enhanced Gemma 4 Locally DataCamp

• Top 7 Coding Models You Can Run Locally in 2026 KDnuggets

• How to Run Kimi K2.7 Code Locally Using llama.cpp DataCamp

• How to Run MiniMax M3 Locally: Multi-GPU Setup with llama.cpp and Pi Agent DataCamp

• How to Speed Up Local LLMs with DFlash Speculative Decoding DataCamp

• SGLang Tutorial: Serving Mistral Medium 3.5 Locally DataCamp

• Multi-Token Prediction Tutorial: How To Speed Up LLMs DataCamp

• How to Run DeepSeek V4 Flash Locally DataCamp

• Fine-Tuning NVIDIA Nemotron-3-Nano On Psychology Q&A Data DataCamp

• Fine-Tuning Qwen3.6 On a Medical Q&A Dataset DataCamp

• Running MiniMax M2.7 Locally for Agentic Coding DataCamp

• Bonsai AI Tutorial: Run a 1-Bit LLM Locally On an Old Laptop DataCamp

• How to Run GLM 5.1 Locally For Agentic Coding DataCamp

• How to Fine-Tune Gemma 4: A Full Walkthrough with a Human Emotions Dataset DataCamp

• Run Qwen3.5 on an Old Laptop: A Lightweight Local Agentic AI Setup Guide KDnuggets

• How to Run Qwen3.5-27B Locally for Agentic Coding DataCamp

• Unsloth Studio Fine-Tuning LLMs Guide DataCamp

• How to Run Unsloth Studio Locally: Step-by-Step Guide DataCamp

• Run a Real Time Speech to Speech AI Model Locally KDnuggets

• Run Tiny AI Models Locally Using BitNet A Beginner Guide KDnuggets

• Fine-Tuning Qwen3.5 Small With QLoRA For News Classification DataCamp

• How to Run Qwen 3.5 Locally on a Single GPU: Step-by-Step Guide DataCamp

• Top 5 Super Fast LLM API Providers KDnuggets

• Top 5 Embedding Models for Your RAG Pipeline KDnuggets

• Run GLM-5 Locally For Agentic Coding DataCamp

• Run Qwen3-Coder-Next Locally: Vibe Code an Analytics Dashboard DataCamp

• How to Run Kimi K2.5 Locally DataCamp

• Using Claude Code With Ollama Local Models DataCamp

• How to Run GLM-4.7 Locally with llama.cpp: A High-Performance Guide DataCamp

• How to Run GLM 4.7 Flash Locally DataCamp

• How to Fine-Tune FunctionGemma: A Step-by-Step Guide DataCamp

• Fine-Tuning T5Gemma-2 DataCamp

• Fine-Tuning Qwen3-VL 8B: A Step-by-Step Guide DataCamp

• 7 Tiny AI Models for Raspberry Pi KDnuggets

• Top 5 Small AI Coding Models That You Can Run Locally KDnuggets

• Top 7 Open Source AI Coding Models You Are Missing Out On KDnuggets

• GPT-5 Function Calling Tutorial DataCamp

• How to Run Qwen3-Next Locally DataCamp

• Fine-Tune OpenAI GPT-OSS 20B on the Dermatology Dataset Firecrawl

• Top 7 Small Language Models KDnuggets

• Fine-Tuning GPT-OSS DataCamp

• The Best Way of Running GPT-OSS Locally KDnuggets

• 5 Easy Ways to Access GLM-4.5 Firecrawl

• 10 Ways To Access GPT-OSS 120B for Free DataCamp

• How to Run Qwen3-Coder Locally DataCamp

• Getting The Most From The LangChain Ecosystem KDnuggets

• How to Run Kimi K2 Locally: Complete Setup & Troubleshooting DataCamp

• Fine-Tuning Magistral: A Step-By-Step Guide DataCamp

• Deploying the Magistral vLLM Server on Modal KDnuggets

• Run the Full DeepSeek-R1-0528 Model Locally KDnuggets

• Mixedbread Cloud: A Unified API for RAG Pipelines KDnuggets

• Fine-Tuning DeepSeek-R1-0528 on an RTX 4090 DataCamp

• Fine-Tuning MedGemma on a Brain MRI Dataset DataCamp

• AutoGen Tutorial: Build Multi-Agent AI Applications DataCamp

• Fine-Tuning Phi-4 Reasoning: A Step-By-Step Guide DataCamp

• Mistral Medium 3 Tutorial: Building Agentic Applications DataCamp

• Fine-Tuning Qwen3: A Step-by-Step Guide DataCamp

• OpenRouter: A Unified Interface for LLMs KDnuggets

• GPT-4.1 Guide With Demo Project: Keyword Code Search Application DataCamp

• Building A Simple MCP Server KDnuggets

• Llama 4 With RAG: A Guide With Demo Project DataCamp

• Fine-Tuning Llama 4: A Guide With Demo Project DataCamp

• Fine-Tune Gemma 3: A Step-by-Step Guide With Financial Q&A Dataset DataCamp

• Run Gemma 3 Locally Using Open WebUI Skillenai

• Top 7 Open-Source LLMs in 2025 KDnuggets

• 5 Cheapest Cloud Platforms for Fine-tuning LLMs KDnuggets

• GPT-4.5 Function Calling Tutorial: Extract Stock Prices and News With AI DataCamp

• OpenAI o3-mini Tutorial: Building a Machine Learning Project with o3-mini DataCamp

• Building Multimodal AI Application with Gemini 2.0 Pro DataCamp

• Building AI Application with Gemini 2.0 KDnuggets

• Top 5 LLMs to Use According to FACTS Leaderboard KDnuggets

• Fine-Tuning DeepSeek R1 (Reasoning Model) DataCamp

• Using DeepSeek-R1 Locally KDnuggets

• Fine-Tuning Llama 3.2 Vision DataCamp

• Evaluate LLMs Effectively Using DeepEval: A Practical Guide DataCamp

• How to Deploy LLM Applications Using Docker: A Step-by-Step Guide DataCamp

• Run Local LLMs with Cortex KDnuggets

• HumanEval: A Benchmark for Evaluating LLM Code Generation Capabilities DataCamp

• Best No-Code LLM App Builders KDnuggets

• Local AI with Docker, n8n, Qdrant, and Ollama DataCamp

• Fine-Tuning GPT-4o KDnuggets

• Anthropic Computer Use: Automate Your Desktop With Claude 3.5 DataCamp

• Fine-tuning Llama 3.2 Using Unsloth KDnuggets

• Top 15 LLMOps Tools for Building AI Applications in 2024 DataCamp

• Fine-Tuning Phi-3.5 on E-Commerce Classification Dataset DataCamp

• Fine-tuning GPT-4o Mini: A Step-by-Step Guide DataCamp

• Using Llama 3.2 Locally KDnuggets

• Fine-tuning Llama 3.2: A Step-by-Step Guide DataCamp

• Building 3 Fun AI Applications with ControlFlow Machinelearningmastery

• LlaMA-Factory WebUI Beginner's Guide: Fine-Tuning LLMs DataCamp

• 10 Free Resources on LLMs Statology

• 3 Ways of Using Gemma 2 Locally Machinelearningmastery

• 12 LLM Projects For All Levels DataCamp

• Building a Simple RAG Application Using LlamaIndex Machinelearningmastery

• Fine-Tuning Llama 3.1 for Text Classification DataCamp

• Fine-Tuning Gemma 2 and Using it Locally DataCamp

• RAG vs Fine-Tuning: A Comprehensive Tutorial with Practical Examples DataCamp

• Cohere Command R+: A Complete Step-by-Step Tutorial DataCamp

• What are Quantized LLMs? Statology

• Groq LPU Inference Engine Tutorial DataCamp

• What is Retrieval-Augmented Generation (RAG)? Statology

• 5 Vector Similarity Search Algorithms for LLMs Statology

• Fine-Tuning Llama 3 and Using It Locally: A Step-by-Step Guide DataCamp

• How to Run Llama 3 Locally: A Complete Guide DataCamp

• Fine-Tune and Run Inference on Google's Gemma Model Using TPUs for Enhanced Speed and Performance DataCamp

• The Easiest Way of Running Llama 3 Locally KDnuggets

• Using Groq Llama 3 70B Locally: Step by Step Guide KDnuggets

• Run LLMs Locally: 7 Simple Methods DataCamp

• Introduction to ChatGPT Next Web (NextChat) DataCamp

• Fine Tuning Google Gemma: Enhancing LLMs with Customized Instructions DataCamp

• Getting Started With Claude 3 Opus That Just Destroyed GPT-4 and Gemini KDnuggets

• Getting Started with Phi-2 DataCamp

• Running Mixtral 8x7b On Google Colab For Free KDnuggets

• Comprehensive Guide to Zephyr-7B: Features, Usage, and Fine-tuning DataCamp

• A Simple Guide to Running LlaMA 2 Locally KDnuggets

• 5 Tools to Help Build Your LLM Apps KDnuggets

• The 5 Best Vector Databases You Must Try in 2024 KDnuggets

• Mistral 7B Tutorial: A Step-by-Step Guide to Using and Fine-Tuning Mistral 7B DataCamp

• Introduction to Falcon 40B: Architecture, Training Data, and Features DataCamp

• Fine-Tuning LLaMA 2: A Step-by-Step Guide to Customizing the Large Language Model DataCamp

• What is LaMDA? DataCamp

• The Pros and Cons of Using Large Language Models (LLMs) in the Cloud vs. Running LLMs Locally: Which Is Right for You? DataCamp

• StarCoder: The Coding Assistant That You Always Wanted KDnuggets

• The Ultimate Open-Source Large Language Model Ecosystem KDnuggets

• Open Assistant: Explore the Possibilities of Open and Collaborative Chatbot Development KDnuggets

• Dolly 2.0: ChatGPT Open Source Alternative for Commercial Use KDnuggets

• ChatGPT and GPT-4 Open Source Alternatives that are Balancing the Scales DataCamp

• 8 Open-Source Alternative to ChatGPT and Bard KDnuggets

• How Watermarking Can Help Mitigate The Potential Risks Of LLMs? KDnuggets

• Free Mastery Course: Become a Large Language Model Expert KDnuggets