#post-training
130 related articles
·3 min
Claude Code with Local LLMs: Token-Free Deployment Guide & Configuration
Learn how to connect Claude Code to local LLMs for token-free AI coding. Covers three-layer architecture, Ollama/LM Studio/vLLM setup, protocol translation, and hardware selection.
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·2 min
Nex N2 Pro Real-World Testing: Top 5 on Official Benchmarks, Only 12th in Independent Tests
Deep-dive testing of Nex N2 Pro open-source Agent model comparing official benchmarks vs independent results. The 397B parameter model shows decent frontend generation but ranks 12th independently, not top 5 as claimed.
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·4 min
AI Engineer Job Search: The Capability Leap from Demo to Production System
AI job demand is surging but companies can't find qualified candidates. Learn the 3 core skills—advanced RAG, local model deployment, and full-stack monitoring—to leap from demo builder to production engineer.
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·4 min
Nex-N2 Pro In-Depth Review: Impressive Code Generation, But How Inflated Are the Benchmarks?
In-depth review of open-source agent model Nex-N2 Pro: testing code generation, SVG output, and game dev capabilities while analyzing benchmark inflation, GPT distillation traces, and speed issues.
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·3 min
Claude Code Local Deployment: A Practical Guide to Connecting Local LLMs
Complete guide to deploying Claude Code locally with Ollama, LM Studio, or vLLM. Covers architecture, protocol translation, hardware requirements, and model selection for zero-cost, private AI coding.
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·3 min
Hermes Agent Deep Dive: A Self-Evolving Agent Architecture with Practical Implementation Guide
Deep dive into Hermes Agent's core architecture: four-layer memory system, Skill self-evolution mechanism, Harness Engineering methodology, OpenCloud comparison, and Feishu integration tutorial.
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·2 min
An Anthropic Employee's Firsthand Account: How Claude Fable 5 Evolved from Tool to Collaborative Partner
A veteran Anthropic employee shares observations on Claude's evolution from Opus 3 to Fable 5, highlighting four milestone releases and how Fable 5 marks the shift from tool to collaborative partner.
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·3 min
Complete Guide to Pi Coding Agent: Building Customized AI Programming with Minimalist Four Tools + Extension System
In-depth guide to Pi Coding Agent: its four core tools, extension system development, Skills management, and detailed comparison with Claude Code for building customized AI programming workflows.
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·4 min
Harness Engineering: A New Software Development Paradigm Where Humans Steer and AI Agents Execute
OpenAI engineer Ryan Lopopolo introduces Harness Engineering — a methodology where humans build constraint systems and AI agents handle all code implementation.
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·3 min
ChatGPT Financial Services Workflow in Practice: A Complete Guide from Investment Research to Financial Modeling
OpenAI demonstrates how ChatGPT transforms financial services workflows — from GPT 5.5 financial optimization and Deep Research investment dossiers to Excel financial modeling and automated decision presentations.
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·3 min
Google CEO Pichai Admits AI Coding Gap, Details Catch-Up Strategy and AGI Outlook
Google CEO Sundar Pichai admits Google lags in AI coding, details its catch-up strategy involving data flywheels, addresses Gemini controversies, and shares his evolving views on AGI.
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·2 min
GPT 5.6 Internal Testing Codename Revealed, Google Pays SpaceX $920M Monthly for Computing Power
OpenAI begins GPT 5.6 Kindle Alpha internal testing with stronger base reasoning. Google partners with SpaceX at $920M/month for computing power. Gemma 4 QAT enables edge deployment, Claude Cowork doubles credits.
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·2 min
The Five-Layer Evolution of Scaling Law: How Physical AI Opens the Next Growth Curve
Deep analysis of Scaling Law's five-layer evolution from Pre-Training to Multi-Agent, exploring Physical AI's World Models, edge inference, and emotional interaction.
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·3 min
Claude Opus 4.8 Identifies Itself as DeepSeek: Data Contamination or Distillation? A Technical Analysis
Anthropic's Claude Opus 4.8 failed within 2 hours of launch, identifying itself as DeepSeek and Tongyi Qianwen in Chinese. Deep analysis of data contamination vs distillation hypotheses and multilingual alignment gaps.
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·3 min
Cursor Design Mode Launch and OpenAI Codex Updates: Latest Developments in AI Programming Tools
Cursor launches Design Mode for visual development, OpenAI Codex updates and Safety Lock Mode released, Anthropic doubles limits, AI agent leaderboards debut, Google DeepMind model compression breakthrough.
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·3 min
vLLM Deep Dive: How PagedAttention Enables High-Throughput LLM Inference
Deep dive into vLLM's core technologies for high-throughput LLM inference, including PagedAttention memory management, continuous batching, distributed deployment, and comparisons with TensorRT-LLM.
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·3 min
Codex in Practice: A Detailed Guide to AI Programming Workflows for Enterprise Code Review and Personal Projects
Explore how OpenAI Codex is used in enterprise code review at Alchemy and personal side projects, with insights on AI-assisted workflows, GPT-5.5, and Computer Use.
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Tech Frontiers·1 min
Gemini 3.5 Flash Achieves a Massive Leap on the GDPval Benchmark
Google Gemini 3.5 Flash surpasses Gemini 3.1 Pro on the GDPval benchmark. The lightweight Flash model leverages post-training techniques to approach frontier-level performance, redefining the balance between quality and cost.
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Deep Dives·4 min
AI Hallucinations: Why Large Language Models Inevitably "Make Things Up" and How to Deal With It
Deep dive into AI hallucination's three root causes: training objective flaws, exposure bias, and probabilistic generation. Covers classification and practical mitigation strategies including RAG.
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Deep Dives·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.
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