#fine-tuning guide

349 related articles

Jul 30, 2026·2 min

SenseNova-Vision Training Data Pipeline Explained: A Guide to Fine-Tuning Unified Vision Models

SenseNova-Vision adds a complete training data pipeline with dataset registration, format converters, and end-to-end docs, making unified vision model fine-tuning for segmentation, OCR, and editing far more accessible.

Jul 26, 2026·3 min

DeepSeek-OCR Deployment and Fine-Tuning: A Complete Hands-On Guide

Master the full DeepSeek-OCR deployment and fine-tuning workflow: vLLM inference deployment, efficient Unsloth fine-tuning, dataset preprocessing, LoRA training, validation, and RAG vector database integration.

Jul 23, 2026·3 min

Agent Fine-Tuning in Practice: A Complete Guide to Training Your Own AI Agent

A deep dive into Agent Tuning: from LLM hallucination and staleness issues to RAG vs. Agent architecture, the 4-step fine-tuning process, and cost analysis for building your own AI agent.

Jul 21, 2026·2 min

Qwen3 Fine-Tuning in Practice: A Complete Guide to Local Deployment and Domain Training

A hands-on guide to LLM fine-tuning: from understanding model weights to local Qwen3 deployment, dataset preparation, and domain-specific training. Build a complete AI engineering skill set.

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 11, 2026·2 min

Fine-Tuning PaliGemma 2 for Custom Object Detection: A Practical Guide from General to Specialized

Learn how to fine-tune Google's open-source PaliGemma 2 VLM for custom object detection. Covers model architecture, data formatting, fine-tuning strategies, and real-world value.

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.

4-bit QLoRA Fine-tuning LLaMA 3 in Practice: A Guide to Training 8 Billion Parameter LLMs on Consumer GPUs

Tutorials

May 13, 2026·3 min

4-bit QLoRA Fine-tuning LLaMA 3 in Practice: A Guide to Training 8 Billion Parameter LLMs on Consumer GPUs

Learn how to fine-tune LLaMA 3 8B on consumer GPUs using QLoRA and Unsloth. Covers 4-bit quantization, LoRA adaptation, Alpaca data format, training pipeline setup, and model deployment—runs on RTX 3090.

Aug 1, 2026·4 min

Heretic Uncensoring Technology Explained: Practical Applications on Jamba2 and Qwen3.5 Open-Source Models

Deep dive into Heretic uncensoring technology applied to Jamba2-Mini, Qwen3.5-9B, and 27B open-source models, exploring how refusal rates dropped from 97% to 4% and the safety debates involved.

Jul 31, 2026·3 min

Three Words to Break Claude Opus 5? Unpacking the Security Concerns Behind LLM Jailbreaking

A reported 3-word prompt jailbreak of Claude Opus 5 sparks debate. We analyze the technical nature of LLM jailbreaks, alignment fragility, and defense-in-depth strategies for enterprise AI security.

Jul 31, 2026·3 min

Three Words to Break Claude Opus 5? Unpacking the Security Concerns Behind LLM Jailbreaking

A reported 3-word jailbreak of Claude Opus 5 sparks debate. We analyze LLM jailbreak mechanics, alignment fragility, and defense-in-depth strategies for AI security.

Jul 30, 2026·3 min

Analyzing System Prompt Leaks: The Tension Between AI Transparency and Security

Analyzing the alleged Claude Opus 5 system prompt leak: exploring how system prompts work, common extraction techniques, the transparency vs. security dilemma, and practical takeaways for developers.

Jul 30, 2026·2 min

Distilling DeepSeek to GPT-OSS: Why Censorship Doesn't Transfer

When distilling DeepSeek to GPT-OSS, censorship mechanisms don't transfer. This article analyzes the separability of capabilities vs. behavioral constraints in knowledge distillation and its implications for AI safety.

Jul 30, 2026·2 min

Distilling DeepSeek to GPT-OSS: Why Censorship Doesn't Transfer

When distilling DeepSeek to GPT-OSS, model censorship doesn't transfer. This article analyzes the separability of capabilities and behavioral constraints in knowledge distillation and its implications for AI safety.

Jul 30, 2026·2 min

Pally: An AI Messaging Assistant Embedded in iMessage and WhatsApp That Automatically Replies on Your Behalf

Pally is an AI assistant natively integrated with iMessage and WhatsApp that monitors your inbox, alerts you to important messages, and auto-replies in your tone.

Jul 30, 2026·2 min

Krea 2 Turbo + Wan 2.2: A Detailed Workflow for Turning Static Images into Dynamic AI Videos

A detailed guide on using Krea 2 Turbo for high-quality static images and Wan 2.2 i2v to add dynamic motion—covering technical principles, key steps, and practical tips.

Jul 30, 2026·3 min

Caimera: A Deep Dive into the AI-Powered Visual Production Platform for Fashion E-commerce

Deep analysis of Caimera, an AI visual production platform for fashion brands that generates product photos, videos, and social assets to cut costs and accelerate time-to-market.

Jul 30, 2026·3 min

Is a Linguistics-to-Computational Linguistics Master's Worth It? Career Prospects and Transition Advice

Is a linguistics-to-computational-linguistics master's worth it? This article analyzes career paths in computational linguistics in the AI era, the competitive advantages of a hybrid background, and practical advice for transitioning from humanities to NLP.