#fine-tuning LLM

644 related articles

Jul 28, 2026·3 min

A 9B Model Beats Frontier LLMs After Just $500 in RL Fine-Tuning

Just $500 in RL fine-tuning enables a 9B open-source model to outperform frontier LLMs on catalog review tasks. Analysis of when small-model RL works and its enterprise implications.

Jul 27, 2026·3 min

DeepSeek-OCR Deployment & Fine-Tuning in Practice: From vLLM Inference to Unsloth Fine-Tuning

Complete guide to DeepSeek-OCR from vLLM inference deployment and Unsloth model loading to fine-tuning, covering cloud server setup, GPU selection, and code examples — all on a single 4090 GPU.

Jul 24, 2026·3 min

LoRA Fine-tuning or Prompt Engineering? Two Paths to Solving LLM Long-Conversation Memory

A developer fine-tunes a small model with LoRA to extract conversation state, tackling the LLM long-conversation memory problem. A deep dive into the technical approach, dataset design, and the real trade-offs between fine-tuning and prompt engineering.

Jul 16, 2026·3 min

Complete Practical Guide to LLM Fine-Tuning: A Roadmap for Beginners

A practical LLM fine-tuning roadmap for beginners — covering when to fine-tune, LoRA/QLoRA selection, data prep, tools like Unsloth, and evaluation for Llama, Mistral, and Gemma.

Jul 8, 2026·3 min

Unsloth v0.1.45-beta Released: 2x Faster LLM Fine-Tuning with 70% Less VRAM

Unsloth v0.1.45-beta (PyPI: 2026.6.2) delivers 2x faster LLM fine-tuning and up to 70% VRAM reduction. Now at 67.9k GitHub stars, upgrade via pip install.

Jul 7, 2026·1 min

Unsloth v0.1.47-beta Released: 2x Faster LLM Fine-Tuning with 70% Less VRAM

Unsloth v0.1.47-beta is out. This 67.9k-star open-source framework fine-tunes Llama, Mistral, and Qwen 2x faster with 70% less VRAM on consumer GPUs.

Jun 8, 2026·2 min

Getting Started with LLM Fine-Tuning: Teaching AI New Tricks with Your Own Data

A detailed guide to LLM fine-tuning: core concepts, three key characteristics, and when to use it. Learn how to train a specialized AI model with small, high-quality datasets, plus comparisons with RAG and prompt engineering.

Jun 6, 2026·2 min

LlamaFactory: A Comprehensive Guide to the Open-Source Framework for Unified Fine-Tuning of 100+ LLMs

Deep dive into LlamaFactory, an open-source unified fine-tuning framework supporting 100+ LLMs and VLMs with LoRA, QLoRA, RLHF methods, Web UI, 71K+ GitHub Stars, accepted at ACL 2024.

Complete Guide to LLM Training: Pre-training, SFT Fine-tuning, and Preference Alignment Explained

Deep Dives

Jun 3, 2026·3 min

Complete Guide to LLM Training: Pre-training, SFT Fine-tuning, and Preference Alignment Explained

Complete guide to the three core LLM training stages: pre-training, supervised fine-tuning (SFT), and preference alignment (DPO/PPO), covering LoRA, distillation, quantization, and pruning.

Essential Skills for LLM Engineers: A Complete Guide to Application Development and Fine-Tuning

Tutorials

Jun 2, 2026·1 min

Essential Skills for LLM Engineers: A Complete Guide to Application Development and Fine-Tuning

A systematic guide to LLM engineer core skills covering RAG, Agent app development and SFT, RLHF fine-tuning, with clear learning paths for different backgrounds.

Unsloth: 80% VRAM Reduction — The Best Open-Source Tool for Local LLM Fine-Tuning

Product Reviews

May 13, 2026·2 min

Unsloth: 80% VRAM Reduction — The Best Open-Source Tool for Local LLM Fine-Tuning

Unsloth is an open-source LLM training tool with 63K+ GitHub stars, supporting Gemma 4, Qwen 3, DeepSeek. Reduces VRAM by 50–80%, enabling RTX 4090 to fine-tune 7B models with a no-code Web UI.

Jul 28, 2026·3 min

Preparation Guide for NLP Research Scientist Internships: Key Focus Areas and Common Pitfalls

A comprehensive guide to preparing for NLP Research Scientist Intern roles, covering evaluation criteria, foundational knowledge, paper reading strategies, hands-on skills, and common pitfalls.

Jul 28, 2026·2 min

Gemini 3.6 Flash Hands-On: Upgrades in Both Quality and Token Efficiency

In-depth analysis of Google Gemini 3.6 Flash's core upgrades including output quality improvements and token consumption optimization, with developer migration advice.

Jul 28, 2026·3 min

How to Elegantly Access Top AI Models Like GPT and Claude from China

Chinese users face registration, payment, and network barriers when accessing GPT, Claude, and other top AI models. This guide covers AI aggregation platforms as a one-stop solution.

Jul 28, 2026·4 min

LangChain Guardrails Explained: Building Safe and Controllable AI Agents

A detailed guide to LangChain Guardrails covering layered ecosystem architecture, middleware implementation, deterministic and model-driven protection for building production-grade secure AI Agents.

Jul 28, 2026·3 min

Learning AI Large Language Models: A Complete Roadmap from Beginner to Practitioner

A systematic breakdown of the AI LLM learning roadmap covering prompt engineering, AI Agent development, RAG knowledge bases, model fine-tuning, and hands-on projects for beginners.

Jul 28, 2026·3 min

Backend Developer Transition to AI/LLM: 4 Core Skills and a Practical Learning Roadmap

Complete guide for backend developers transitioning to AI/LLM engineering. Covers the 4 core skills—Python, RAG, Fine-tuning, and Agents—with a phased learning roadmap and practical project advice.

Jul 28, 2026·3 min

Deep Dive into Inkling: The First Frontier Open-Source Multimodal LLM from the West

Thinking Machines releases Inkling, an open-source multimodal LLM with near-trillion MoE parameters, 1M token context, Apache 2.0 license. Deep dive into architecture, benchmarks, and pricing.

Jul 28, 2026·3 min

Legora's Legal AI Practice: How Vertical AI Empowers Law Firms and Corporate Legal Transformation

Explore Legora's legal vertical AI practice, covering AI model selection strategies, enterprise legal transformation challenges, and the path to deploying vertical AI in the legal industry.

Jul 28, 2026·4 min

Kimi K2/K3 Technical Speculation: Deep Dive into RL Hyperparameters and Multi-Teacher Distillation

Deep analysis of RL hyperparameter tuning challenges and 9-policy multi-teacher distillation in Kimi K2/K3 training, exploring the shift from scale to training craft.