#autoregressive model
529 related articles
·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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·2 min
OpenAI Officially Rebuilds Its Robotics Team: Hiring Hardware and ML Engineers at Scale
OpenAI officially returns to robotics, hiring full-stack hardware and ML engineers at scale. Led by DALL·E creator Aditya Ramesh, the team evolved from world simulation research to build general-purpose robots.
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Tutorials·3 min
Agent Tuning: A Complete Guide to Training LLMs with Agent Capabilities
A deep dive into Agent Tuning principles and practices, covering why Agent training is needed, the evolution from Prompt to RAG to Agent, development workflows, and cost assessment for private deployment.
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Tutorials·2 min
Getting Started with RAG: What Is Retrieval-Augmented Generation and How Does It Solve LLM Hallucination?
RAG (Retrieval-Augmented Generation) is the core solution for LLM hallucination. Learn RAG concepts, how it works, three causes of hallucination, and the complete learning path from basics to Knowledge Graph RAG.
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Deep Dives·3 min
Deep Dive into How OpenClaw (Open-Source Crayfish) AI Agent Works
Deep analysis of OpenClaw AI Agent internals: System Prompt, tool calling, SubAgents, Skill system, memory, and Context Engineering explained.
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Deep Dives·1 min
Demystifying Transformer: A Word-Continuation Function, Deconstructed
Understand Transformer through the lens of word continuation. Breaking down language generation into Embedding, Transformer Block, and Probability output modules for intuitive understanding.
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Tutorials·3 min
Alibaba Cloud Bailian Platform Hands-On: Complete Tutorial from API Calls to Multi-Turn Conversations
Complete tutorial on Alibaba Cloud Bailian platform covering API Key setup, Qwen model calls, streaming output, multi-turn conversation principles, and prompt engineering with four roles.
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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·2 min
The "Worse is Better" Philosophy of Large Model Design: Why Simple and Brutal Beats Refined and Complex
Analyzing the "worse is better" philosophy in large model architecture: why DeepSeek V4 dropped N-gram, why Transformer dominates AI, and three iron laws of simple, efficient model design.
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Tech Frontiers·3 min
Claude Powers NASA Mars Rover Route Planning, Windsurf Launches IDE Model Arena
Claude plans routes for NASA's Perseverance rover, Windsurf launches Arena Mode for in-IDE model comparison, SenseTime open-sources multimodal reasoning models, and Anthropic research reveals pros and cons of AI-assisted learning.
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Tech Frontiers·3 min
Claude Powers NASA Mars Rover Route Planning, Windsurf Launches IDE Model Arena
Claude plans routes for NASA's Perseverance rover, Windsurf launches Arena Mode for in-IDE model comparison, SenseTime open-sources multimodal reasoning models, and Anthropic research reveals pros and cons of AI-assisted learning.
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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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Tutorials·2 min
Harness Engineering Explained: The Role Shift from Coder to AI Supervisor
Deep dive into Harness Engineering: how engineers shift from coders to AI supervisors. Learn to solve agent drift, feedback optimization, and build future-proof engineering skills.
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Product Reviews·2 min
GPT 5.5 Image 2.0 for Academic Illustrations: Technical Roadmaps & Defense PPTs Compared with Gemini
Hands-on testing of GPT 5.5 Image 2.0 for research technical roadmaps and thesis defense PPTs, compared with Gemini Pro on quality, stability, and academic adaptability.
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Product Reviews·3 min
Moore Threads AI Coding Plan: A Fully Domestic AI Programming Service with 30-Day Free Trial
Moore Threads launches AI Coding Plan powered by its MTT S5000 GPU and GLM-4 code model, achieving full-stack domestic AI coding. Compatible with VS Code and Cursor, with a 30-day free trial.
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Tutorials·3 min
llama.cpp MTP Acceleration Deployment Guide: Configuration Steps & Real-World Benchmarks
Guide to enabling MTP multi-Token prediction acceleration in llama.cpp, covering CUDA setup, desktop configuration, model selection, and benchmarks showing ~60 Token/s with Qwen3 27B.
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Tutorials·3 min
Practical Guide to Building an Intelligent Coding Assistant with the OpenAI API
A detailed guide on building an intelligent code assistant with the OpenAI API, covering Chat Completions, Responses, and Assistants APIs, GPT-4.5 vs Codex models, and tools like Function Calling and Code Interpreter.
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Deep Dives·3 min
DeepSeek V4 Deep Technical Breakdown: Million-Token Context and Extreme Cost Efficiency
Deep analysis of DeepSeek V4's core architecture: Hybrid Compressed Attention, Manifold-Constrained Hyperconnection, and MUON optimizer—how they cut inference costs by 10x and enable million-token context processing.
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Deep Dives·4 min
Core Principles of the Transformer Architecture: A Deep Dive into Self-Attention Mechanisms and Engineering Optimizations
Deep dive into Transformer architecture covering self-attention QKV mechanics, Encoder-Decoder structure, Flash Attention memory optimization, RoPE positional encoding, and GQA inference acceleration.
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Tutorials·4 min
Getting Started with Codex from Scratch: Why It's a Better Fit Than Claude Code for Most People
In-depth comparison of OpenAI Codex vs Claude Code covering account stability, usage quotas, browser control, and automation — helping you get started with this all-in-one AI Agent desktop tool.
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