#GPU selection guide
146 related articles
·4 min
Laguna S 2.1 Deep Dive: Hands-On Local Deployment of a 118B Parameter Coding Model
In-depth review of Poolside's Laguna S 2.1 open-source coding model: MoE architecture, RL training, DGX Spark local deployment, and real-world agentic coding tests with 8B active parameters.
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·4 min
Fable 5 vs GPT-5.6: An In-Depth Head-to-Head Comparison of Two Top-Tier Coding Models
In-depth comparison of Fable 5 vs GPT-5.6 (Sol) for AI coding. Covering token efficiency, code quality, design, cost, and safety based on $10K+ real usage data.
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·4 min
Fable 5 vs GPT-5.6: An In-Depth Head-to-Head Comparison of Two Top-Tier Coding Models
In-depth comparison of Fable 5 vs GPT-5.6 (Sol) for AI coding. Real-world data on token efficiency, code quality, design capability, and cost from $10K+ testing.
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·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.
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·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.
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·4 min
Getting Started with AI Agent Development: A Complete Guide from Concept to Practice
A comprehensive guide to AI Agent architecture and development, covering automated marketing, intelligent customer service, and investment analysis scenarios with single and multi-agent collaboration.
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·3 min
Google Launches Gemini 4 Pre-training: Its Most Ambitious AI Model Training Yet
Google DeepMind announces Gemini 4 pre-training has begun, calling it their most ambitious training yet. A deep dive into its technical direction, compute scale, multimodal breakthroughs, and competitive impact.
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·3 min
Open Source vs. Closed Source: Who Will Win the US-China AI Battle?
Chinese open-source models DeepSeek and Kimi K3 are challenging OpenAI's closed-source dominance. Analyzing the business logic, chip ecosystems, and US-China strategic dynamics behind the open vs. closed AI debate.
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·3 min
Open Source vs. Closed Source: Who Will Win the US-China AI Battle?
Chinese open-source models DeepSeek and Kimi K3 challenge OpenAI's closed-source dominance. Analysis of open vs. closed AI strategies, CUDA moat erosion, and the US-China strategic battle for AI supremacy.
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·5 min
30+ Free AI & Machine Learning Classic Textbooks: All in One GitHub Repository
Awesome Free AI Books is an open-source repo with 30+ legally free AI & ML classic textbooks covering deep learning, reinforcement learning, NLP, LLMs, and more — all linking to official sources with weekly automated link checks.
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·5 min
Ollama Performance Degrades After Connecting to OpenWebUI? A Complete Troubleshooting Guide
Complete guide to troubleshooting Ollama performance degradation with OpenWebUI, covering num_ctx truncation, sampling parameter differences, GPU resource contention, and system prompt interference.
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·6 min
Hands-On with Panel AI On-Premises Deployment: One-Click Enterprise Adoption and Unified Compute Cluster Scheduling
In-depth review of Panel AI v1.1.1: second-level installation, no-public-IP networking, batch compute cluster management. Learn how enterprise AI on-premises deployment barriers are dramatically lowered.
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·6 min
The AI Builder's Handbook: A Complete Guide to LLM Principles, RAG Architecture, and Agent Design
From the autocomplete nature of LLMs, tokens, and context windows to RAG vector databases, the MCP protocol, and AI agent loop design — this article uses vivid analogies to unpack the reality of AI engineering.
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·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.
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·6 min
GPT-5.6 Hands-On Deep Dive: Three-Tier Models + Ultra Multi-Agent, Codex Fully Evolved
OpenAI launches GPT-5.6 with three tiered models—Sol, Terra, and Luna—Ultra multi-agent parallel collaboration, Codex integrated into ChatGPT desktop, and an upgraded Computer Use.
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llmfit: One Command to Check Which Loc…
·2 min
llmfit: One Command to Check Which Local LLMs Your Hardware Can Run
llmfit is an open-source Rust CLI tool that predicts whether your local hardware can run a given LLM — no model download required. Covers hundreds of models and backends like Ollama and llama.cpp.
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·3 min
Dify 1.8 Complete Beginner's Guide: Build 20+ AI Apps Fast
A complete Dify 1.8 guide covering 3 deployment methods (Docker/cloud/source), MySQL integration, 5 app types (Chatbot/Agent/Workflow), model selection, and publishing strategies.
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·3 min
AI Manga Drama Production: Full Workflow from Image Generation to Monetization
A complete guide to AI manga drama production: covering Jimeng, Hailuo, ComfyUI video generation, MiniMax voiceover, Topaz upscaling, and editing — for everyday creators.
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·2 min
Abliteration Explained: Building a Custom Uncensored Text Encoder for Krea 2
How a developer ran 4,000 multi-seed abliteration trials to build a 100% HarmBench-compliant uncensored text encoder for Krea 2's Qwen3-VL-4B, with five quantization formats and ComfyUI deployment guide.
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·3 min
Cherry Studio + MCP + Ollama: The Complete Guide to Building a Local AI Agent and Private Knowledge Base
A hands-on guide to building a local AI agent and private knowledge base using Cherry Studio, MCP, and Ollama — with web scraping, report generation, and terminal control.
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