https://blog.llmgo.top/ Focusing on AI foundation models and tech insights en Mon, 07 Sep 2026 09:28:33 GMT https://blog.llmgo.top/en/articles/deepseek-v4-kimi-k3-deployment-guide/ https://blog.llmgo.top/en/articles/deepseek-v4-kimi-k3-deployment-guide/ Mon, 07 Sep 2026 00:00:00 GMT Complete enterprise on-premise deployment guide for 1.6T - 2.8T MoE open-weight models: Hardware planning across GPU clusters, vLLM / SGLang distributed TP/PP configuration, FP8 dynamic quantization, and high-concurrency API gateway production setups. https://blog.llmgo.top/en/articles/domestic-llm-comparison-2026/ https://blog.llmgo.top/en/articles/domestic-llm-comparison-2026/ Mon, 07 Sep 2026 00:00:00 GMT In-depth evaluation of China's top three frontier models in 2026: Kimi K3's 2.8T KDA attention, GLM-5.3's environment-scaled terminal execution, and DeepSeek-V4-Pro's 1.6T MoE software engineering prowess. https://blog.llmgo.top/en/articles/environment-scaling-agent-guide/ https://blog.llmgo.top/en/articles/environment-scaling-agent-guide/ Mon, 07 Sep 2026 00:00:00 GMT Analyzing the major post-training paradigm shift of 2026: from text autoregression to multi-environment sandboxed RL. Deep dive into GLM-5.3's Terminal-Bench 3.0 breakthrough, Linux container orchestration, MCP protocol integration, and sandboxed agent engineering. https://blog.llmgo.top/en/articles/kimi-kda-deepseek-mla-architecture/ https://blog.llmgo.top/en/articles/kimi-kda-deepseek-mla-architecture/ Mon, 07 Sep 2026 00:00:00 GMT In the era of million-token context windows and trillion-parameter MoE, how KV Cache memory saturation became the core bottleneck. Deep mathematical and architectural breakdown of Moonshot's KDA and DeepSeek's MLA low-rank projections. https://blog.llmgo.top/en/articles/agent-reflection-self-correction/ https://blog.llmgo.top/en/articles/agent-reflection-self-correction/ Thu, 16 Jul 2026 00:00:00 GMT The potential of LLMs extends beyond pre-trained parameters. We dive deep into the frontier of Test-Time Compute: from Actor-Critic architecture to leveraging Monte Carlo Tree Search (MCTS) to decode the limits of Agent self-correction. https://blog.llmgo.top/en/articles/agent-orchestration-evals/ https://blog.llmgo.top/en/articles/agent-orchestration-evals/ Wed, 15 Jul 2026 00:00:00 GMT As LLMs move into complex enterprise production, how do we use distributed orchestration to combat error compounding? How do we build a statistically significant Evals system? https://blog.llmgo.top/en/articles/loop-engineering/ https://blog.llmgo.top/en/articles/loop-engineering/ Sun, 28 Jun 2026 00:00:00 GMT A deep dive into the evolution of AI Agent architectures, exploring the 4-layer control plane extrapolation from Prompt, Context, Harness to Loop Engineering, and the 4 diseases of the ReAct architecture. https://blog.llmgo.top/en/articles/agent-observability-debugging/ https://blog.llmgo.top/en/articles/agent-observability-debugging/ Mon, 15 Jun 2026 00:00:00 GMT AI Agents are not traditional software; we are debugging the reasoning process rather than the code itself. This article explores Trajectory Evaluation, LLM-as-a-Judge, and practical applications of mainstream Agent observability tools like LangSmith and Langfuse. https://blog.llmgo.top/en/articles/context-engineering-guide/ https://blog.llmgo.top/en/articles/context-engineering-guide/ Mon, 15 Jun 2026 00:00:00 GMT The hottest concept in 2026, evolving from Prompt Engineering to Context Engineering. A deep dive into managing the context window through Write, Select, Compress, and Isolate strategies to solve long-context amnesia, hallucinations, and context poisoning. https://blog.llmgo.top/en/articles/ai-coding-mastery/ https://blog.llmgo.top/en/articles/ai-coding-mastery/ Mon, 04 May 2026 00:00:00 GMT Tools don't matter — methodology does. A deep dive into six core methods for mastering AI coding: Spec-Driven Development, Context Engineering, TDD Verification Loops, Multi-Agent Orchestration, Advanced Prompting, and Session Hygiene. Plus a 20+ tool matrix and five anti-patterns to avoid. https://blog.llmgo.top/en/articles/llm-evaluation-guide/ https://blog.llmgo.top/en/articles/llm-evaluation-guide/ Wed, 22 Apr 2026 00:00:00 GMT Cease the obsession with writing more code; shift focus to deep evaluation thinking. We deconstruct LLM-as-a-Judge biases, the mathematics behind metrics, and reshaping CI/CD defenses for probabilistic systems. https://blog.llmgo.top/en/articles/quantization-hands-on-guide/ https://blog.llmgo.top/en/articles/quantization-hands-on-guide/ Wed, 22 Apr 2026 00:00:00 GMT Stop theorizing, start quantizing. From downloading pre-quantized models, to hands-on weight compression with AWQ/GPTQ/GGUF, to vLLM FP8 zero-calibration production deployment and QLoRA fine-tuning—four routes, each with complete copy-paste code. https://blog.llmgo.top/en/articles/ai-history-choices/ https://blog.llmgo.top/en/articles/ai-history-choices/ Wed, 15 Apr 2026 00:00:00 GMT A retrospective of six pivotal technology crossroads in AI's seventy-year history, dissecting the compute constraints, data dividends, and scalability logic behind each historical choice. https://blog.llmgo.top/en/articles/vllm-serving-guide/ https://blog.llmgo.top/en/articles/vllm-serving-guide/ Tue, 14 Apr 2026 00:00:00 GMT A deep dive into vLLM's core architecture (PagedAttention, continuous batching, APC prefix caching, speculative decoding) for online serving. Covers OpenAI-compatible API setup, performance tuning, token billing systems, and complete Docker deployment with Prometheus monitoring. https://blog.llmgo.top/en/articles/nvidia-gpu-package-architecture/ https://blog.llmgo.top/en/articles/nvidia-gpu-package-architecture/ Sun, 05 Apr 2026 00:00:00 GMT A deep dive into the complex Linux NVIDIA GPU driver package structures. Understand the 5-layer architecture bridging nvidia-dkms, libnvidia, nvidia-utils, and driver metapackages. Plus, discover enterprise best practices and troubleshooting guides for 4 core deployment scenarios, including Docker model servers and DGX clusters. https://blog.llmgo.top/en/articles/quantization-precision-guide/ https://blog.llmgo.top/en/articles/quantization-precision-guide/ Tue, 31 Mar 2026 00:00:00 GMT A comprehensive comparison of FP32, BF16, FP16, FP8, INT8, INT4, NF4, FP4, 1.58-bit and all major quantization formats — with real benchmark data and an in-depth FP8 vs INT8 technical analysis. https://blog.llmgo.top/en/articles/agent-runtime-practices/ https://blog.llmgo.top/en/articles/agent-runtime-practices/ Sun, 15 Mar 2026 00:00:00 GMT Based on a real data analysis agent project, this article distills 7 reusable Agent Runtime practices covering state exposure, tool design, context control, guardrails, delegation, and trace-driven iteration. https://blog.llmgo.top/en/articles/mcp-guide/ https://blog.llmgo.top/en/articles/mcp-guide/ Thu, 12 Mar 2026 00:00:00 GMT From architecture to hands-on development, a complete guide to the Model Context Protocol. Includes Python SDK tutorial, security mechanisms, and ecosystem comparison. https://blog.llmgo.top/en/articles/skills-guide/ https://blog.llmgo.top/en/articles/skills-guide/ Thu, 12 Mar 2026 00:00:00 GMT From core principles to cross-platform practice, a complete guide to the AI coding assistant Skills system. Covers SKILL.md mechanics, six-platform comparison, hands-on writing guide, and best practices. https://blog.llmgo.top/en/articles/prompt-engineering-guide/ https://blog.llmgo.top/en/articles/prompt-engineering-guide/ Mon, 09 Mar 2026 00:00:00 GMT An in-depth exploration of designing effective prompts to improve model output quality. Covers core techniques like Few-Shot, Chain-of-Thought, and ReAct with practical examples. https://blog.llmgo.top/en/articles/ai-trends-2026/ https://blog.llmgo.top/en/articles/ai-trends-2026/ Sat, 07 Mar 2026 00:00:00 GMT From Thinking reasoning modes to Agentic applications, a deep dive into the top 6 trends in AI foundation models for 2026. https://blog.llmgo.top/en/articles/build-ai-agent/ https://blog.llmgo.top/en/articles/build-ai-agent/ Thu, 05 Mar 2026 00:00:00 GMT A step-by-step guide to building intelligent agent systems using LangChain and the Claude API. Includes complete code and architecture design. https://blog.llmgo.top/en/articles/rag-in-practice/ https://blog.llmgo.top/en/articles/rag-in-practice/ Tue, 03 Mar 2026 00:00:00 GMT From vector database selection to Embedding strategies, a complete guide to building an enterprise-grade RAG system. Includes a practical comparison between Pinecone and Weaviate. https://blog.llmgo.top/en/articles/model-comparison-2026/ https://blog.llmgo.top/en/articles/model-comparison-2026/ Sun, 01 Mar 2026 00:00:00 GMT A comprehensive comparison of the top three foundation models in 2026, covering reasoning, coding, context windows, API pricing, and selection strategies. https://blog.llmgo.top/en/articles/multimodal-guide/ https://blog.llmgo.top/en/articles/multimodal-guide/ Sat, 28 Feb 2026 00:00:00 GMT Explore the vision and text capabilities of multimodal models like GPT-5.4 and Gemini 3.1 Pro, with practical use cases in image and video analysis. https://blog.llmgo.top/en/articles/fine-tuning-guide/ https://blog.llmgo.top/en/articles/fine-tuning-guide/ Wed, 25 Feb 2026 00:00:00 GMT A comparison of LoRA, QLoRA, and Full Fine-tuning. A complete workflow and best practices from data preparation to model deployment.