#parameter-efficient training

140 related articles

Jul 12, 2026·4 min

ChatGLM Large Model Development Tutorial: From Zero to Enterprise Deployment

Systematically learn ChatGLM large model development, covering Transformer principles, RAG, private deployment, fine-tuning, and Agent development, with a roadmap and hands-on cases.

Jul 12, 2026·3 min

AI-Generated D&D Fantasy Character Portraits: A New Creative Tool for Tabletop Gamers

AI image generation is transforming how D&D and tabletop gamers create characters. From character consistency to atmospheric detail, new diffusion models make stunning fantasy portraits accessible.

Jul 12, 2026·5 min

Krea 2 Turbo Style Reference LoRA: Define Your Generation Style with a Single Image

ostris releases the Krea 2 Turbo Style Reference LoRA, supporting single or multi-image style extraction for precise AI style transfer. Open-source, free, and locally deployable.

Jul 12, 2026·6 min

Getting Started with AI Agents: Principles, Frameworks, and a Guide to Building Enterprise-Grade Agents

In-depth analysis of AI Agent core principles: why LLMs need Agent technology, the evolution from Prompt to RAG to Agent, Agent Tuning methods, and enterprise cost evaluation to help you build enterprise-grade agent applications.

Jul 12, 2026·2 min

Krea 2 Emotion Expression Test: Turbo vs Raw+LoRA Head-to-Head Review

An in-depth review of how Krea 2 Turbo and Raw+LoRA differ in emotional scenarios. Using a variable-controlled workflow and the same random seed, comparing 11 emotional scenarios, with auxiliary LoRA and prompt tips.

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.

Jul 11, 2026·4 min

Landing an Amazon AI/ML Internship Without On-Campus Recruiting: A Complete Preparation Guide

No Amazon on-campus recruiting? This guide details the off-campus path for CS students: DSA practice strategy, ML/LLM skill-building, portfolio creation, resume optimization, and referral tips.

Jul 11, 2026·7 min

50 AI Research Job Applications to FAANG, 0 Replies? Unpacking the Truth Behind the Job Search Struggle

An AI research engineer with 3 years of experience sent 50 applications to FAANG with zero replies. This article breaks down the hidden barriers of top-tech AI roles, the truth about LinkedIn ghost jobs, and the MLE vs. Research Engineer divide.

Jul 10, 2026·4 min

GPT-5.6 Three-Model Deep Dive: Sol, Terra, and Luna Benchmarked and Compared

OpenAI's GPT-5.6 series benchmarked: flagship Sol, balanced Terra, and lightweight Luna tested head-to-head. Agentic tasks rival top models, Luna starts at $1/M tokens. Full comparison with Fable 5 and Opus 4.8.

Jul 10, 2026·5 min

Real-World Comparison of 6 Open-Source LLMs for On-Premise Deployment: A Selection Guide to Avoid Pitfalls

A hands-on comparison of 6 open-source LLMs (DeepSeek, Qwen3, Zhipu GLM, Kimi K2, MiniMax M3, Tencent Hunyuan 3) for on-premise deployment—covering hardware cost, inference efficiency, and deployment difficulty.

Jul 10, 2026·5 min

28 Enterprise-Grade AI Agent Projects: A Complete Guide That Even Beginners Can Deploy

A collection of 28 fully reproducible enterprise-grade AI Agent projects covering code debugging, financial analysis, customer service, and multi-agent collaboration—deployable even for beginners.

Jul 10, 2026·5 min

DeepSeek Boosts Inference Speed by 85%: How Speculative Decoding Is Reshaping the AI Speed Race

DeepSeek and Peking University's DS Spark paper boosts AI inference speed by up to 85% via confidence scheduling and semi-autoregressive speculative decoding — no model or GPU changes.

Jul 10, 2026·6 min

AI's Second Half: The Decisive Battle Shifts from Models to Infrastructure

Model capabilities are converging, making inference cost and scalability the new focus of AI competition. A deep analysis of AI infrastructure's core layers.

Jul 10, 2026·4 min

Switching Careers to LLM Development: The Four Core Competency Layers Companies Actually Need

Want to break into LLM development but not sure where to start? This guide breaks the core skills into four progressive layers — from basic knowledge to RAG, fine-tuning, Agents, and multimodal — so you can align with real enterprise needs and land the job.

Jul 10, 2026·6 min

7 Anima Model Combinations Tested: The Optimal Config Guide for Anime Image Generation

A Reddit user's rigorous controlled experiment testing all 7 Anima combos—base, aesthetic, turbo LoRA, and turbo baked. Key takeaway: choose aesthetic first, add Turbo LoRA for anime-girl style. Includes prompt structures and ComfyUI configs.

Jul 10, 2026·7 min

Complete Guide to Training Small Models on Kaggle's Free Compute: GPU Quotas and Practical Tips

In-depth guide to Kaggle's free-tier compute: P100/T4 GPU with 30 hours/week quota, 12-hour sessions, suitable models like CNN and BERT fine-tuning, plus tips like mixed precision and checkpointing to start deep learning at zero cost.

Jul 10, 2026·6 min

Samsung's Chip Profit in a Single Year Exceeds 40 Years Combined: The AI Wave Triggers a Memory Price Crisis

Samsung's chip division is set to earn more profit in one year than in its past 40 years combined, with quarterly profit surging 19x YoY, surpassing NVIDIA. AI data centers are seizing HBM and DRAM capacity, driving up DDR5 and SSD prices.

Jul 10, 2026·6 min

What Is an FDE? Decoding the Most Sought-After Hybrid Engineer in the AI Deployment Era

FDE (Forward Deployed Engineer) is the hottest emerging role in the AI deployment wave, combining a technical CTO, full-stack AI engineer, and business consultant. Learn the two FDE tracks, core skills, and how to transition into one.

Jul 10, 2026·2 min

Unsloth v0.1.462-beta: Keyboard Navigation and Accessibility Improvements for Model Picker

Unsloth v0.1.462-beta adds full keyboard navigation to the Studio Model Picker, fixes Tab focus order, and improves accessibility for LLM fine-tuning workflows.

Jul 9, 2026·4 min

AI Weekly: GPT-5.6 Launches in Three Tiers, Open-Source Inference Frameworks and Robot Safety Break Through Across the Board

This week in AI: OpenAI launches GPT-5.6 in three tiers (Sol/Terra/Luna) hitting 91.9% on coding benchmarks; DeepSeek and PKU open-source DSpark for 85% faster inference; Prime Intellect trains trillion-param models on just 28 H200s; Anthropic Claude enters Slack.