#autoregressive generation

23 related articles

2026年6月7日·4 min

Anthropic's Official Breakdown: Three Core Components for Building AI Agents

Anthropic Developer Conference deep dive into three core AI Agent architectures: Build (code execution), Connect (Web Search & MCP), and Optimize, with live demos and multi-tool collaboration examples.

2026年6月7日·4 min

The 8 Core Modules of Prompt Engineering: A Complete Guide from Fundamentals to Advanced Techniques

A systematic breakdown of the 8 core modules of prompt engineering, covering fundamentals, CoT, Few-shot, prompt security, and real-world AI applications.

2026年6月7日·3 min

Hands-On Testing of DS4 Engine by Redis Creator: How Does DeepSeek V4 Perform Locally on a 128GB Mac?

Redis creator Antirez's DS4 inference engine tested: running DeepSeek V4 Flash locally on a 128GB Mac via asymmetric structure-aware quantization, with real-world coding benchmarks.

2026年6月7日·4 min

Core Methodology of Prompt Engineering: A Systematic Deep Dive from Principles to Practice

A deep dive into prompt engineering principles and core methodology. Master three keys to high-quality prompts: specific, rich, and unambiguous. Learn tuning techniques and advanced programming integration.

AI Era Survival Guide for Programmers:…

2026年6月7日·3 min

AI Era Survival Guide for Programmers: The Transformation from Code Producer to AI Orchestrator

In-depth analysis of AI programming's impact on traditional developers, covering Vibe Coding trends, the emerging FDE role, and how programmers can transform through business acumen and architectural thinking.

AI Coding Skill Mechanism Explained: M…

2026年6月6日·4 min

AI Coding Skill Mechanism Explained: Making AI Work Efficiently with Professional SOP Workflows

Deep dive into the Skill mechanism in AI coding: definition, purpose, and usage. Learn how Skills differ from Agent Constitutions and enable AI to follow professional workflows for tasks like debugging, code review, and requirements analysis.

2026年6月6日·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.

2026年6月4日·4 min

Legitimate Slacking for Programmers: The Art of Waiting from Code Compilation to AI Generation

From the classic XKCD compilation meme to AI coding era reinterpretations — exploring how waiting for compilation and AI generation is reshaping developer productivity.

2026年6月4日·4 min

The Art of Legitimate Slacking: From Code Compilation to AI Generation Waits for Programmers

From the classic XKCD compilation meme to AI coding era reinterpretations — exploring how waiting for compilation and AI code generation is reshaping developer productivity.

Deep Dive into How OpenClaw (Open-Source Crayfish) AI Agent Works

Deep Dives

2026年6月3日·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.

Demystifying Transformer: A Word-Continuation Function, Deconstructed

Deep Dives

2026年6月3日·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.

Alibaba Cloud Bailian Platform Hands-On: Complete Tutorial from API Calls to Multi-Turn Conversations

Tutorials

2026年6月3日·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.

AI Hallucinations: Why Large Language Models Inevitably "Make Things Up" and How to Deal With It

Deep Dives

2026年6月3日·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.

The "Worse is Better" Philosophy of Large Model Design: Why Simple and Brutal Beats Refined and Complex

Deep Dives

2026年6月3日·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.

Harness Engineering Explained: The Role Shift from Coder to AI Supervisor

Tutorials

2026年6月3日·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.

Practical Guide to Building an Intelligent Coding Assistant with the OpenAI API

Tutorials

2026年6月2日·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.

DeepSeek V4 Deep Technical Breakdown: Million-Token Context and Extreme Cost Efficiency

Deep Dives

2026年6月2日·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.

Core Principles of the Transformer Architecture: A Deep Dive into Self-Attention Mechanisms and Engineering Optimizations

Deep Dives

2026年6月2日·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.

Cloudflare Contributes Critical KV Cache and Mooncake Fixes to SGLang

Tech Frontiers

2026年5月30日·1 min

Cloudflare Contributes Critical KV Cache and Mooncake Fixes to SGLang

Cloudflare contributes decode KV cache offload and Mooncake recovery fixes to SGLang, resolving garbled output under high concurrency for Kimi K2.6 and enabling automatic fault recovery in distributed inference.

Tutorials

Harness Engineering: A Practical Guide…

2026年5月28日·3 min

Harness Engineering: A Practical Guide to AI Programming — From Prompts to Mastery

Explore the three stages of AI programming evolution: from Prompt Engineering to Context Engineering to Harness Engineering. Master enterprise-grade AI coding with Cloud Code + VS Code.