#adaptive concurrency

33 related articles

Jul 25, 2026·2 min

DSpark: DeepSeek Partners with Peking University to Open-Source Inference Acceleration, Boosting Speed by Up to 85%

DeepSeek partners with Peking University to open-source DSpark, an inference acceleration tech boosting single-user speed by 57%-85% under high concurrency. Learn its three core designs and the DSpec framework.

Jul 25, 2026·2 min

DSpark: DeepSeek and Peking University Open-Source Inference Acceleration Tech with Up to 85% Speed Boost

DeepSeek and Peking University open-source DSpark, an inference acceleration tech boosting single-user generation speed by 57%-85% under high concurrency. Learn its 3 core designs and the DSpec framework.

Jul 25, 2026·2 min

D-Flash: How Diffusion Drafting Delivers 3.5x Faster LLM Inference

D-Flash solves the autoregressive drafter latency bottleneck in speculative decoding via fast diffusion parallel drafting and target feature KV injection. 16 tokens in just 6ms, up to 3.5x speedup on HumanEval, beating EAGLE3 and MTP.

Jul 25, 2026·3 min

D-Flash: The Secret Behind 3.5x LLM Inference Speedup with Diffusion Drafting

D-Flash uses fast diffusion parallel drafting and target feature KV injection to solve the autoregressive Drafter latency bottleneck in speculative decoding. 16 tokens in just 6ms, up to 3.5x speedup on HumanEval, surpassing EAGLE3 and MTP.

Jul 23, 2026·4 min

Java Developer to AI Architect: A Three-Layer Capability Upgrade Roadmap

How can Java engineers transition to AI Architect? This article breaks down three core capability layers — AI app development, production RAG, and AI Agent orchestration — using Spring AI Alibaba and LangChain4j to turn your Java foundation into a competitive edge.

Jul 23, 2026·7 min

Context Engineering: A Systematic Approach to Stop AI Agents from 'Talking Nonsense'

Context engineering is the core methodology for building efficient AI Agents, covering query enhancement, RAG retrieval, prompt design, memory management, and tool invocation. Master Write, Select, Compress, and Isolate to solve LLM hallucination at its root.

Jul 17, 2026·4 min

DSpark Open Source: DeepSeek's Inference Acceleration Tech That Doubles LLM Speed

DeepSeek and Peking University open-source DSpark, an inference acceleration technology using semi-autoregressive architecture and dynamic scheduling to boost LLM speed by 50%+ and double GPU concurrency without quality loss.

Jul 12, 2026·3 min

GPT 5.6 + Codex In-Depth Review: Three-Tier Models and Ultra Mode Fully Explained

GPT 5.6 updates Codex with Sol/Terra/Luna model tiers, Ultra thinking mode, 350K context, and stronger autonomous loops. Full hands-on review of all core upgrades.

Jul 12, 2026·2 min

SGLang Integrates DSpark: How Confidence-Driven Speculative Decoding Cracks the High-Concurrency Failure Problem

SGLang officially integrates DSpark, solving the core pain point of speculative decoding failure under high-concurrency batches via confidence-driven variable-length verification. Supports Qwen3 and DeepSeek-V4, hitting 383.7 tok/s on B300.

Jul 10, 2026·7 min

Turning Any AI Agent into an Orchestration Hub: A Deep Dive into Multi-Agent Collaboration Architecture

An in-depth analysis of the "any Agent as an orchestrator" design philosophy, exploring the technical implementation of multi-Agent collaboration, context management, and workflow automation.

Jul 10, 2026·5 min

Real-World Comparison of 6 Open-Source LLMs for On-Premise Deployment: A Selection Guide to Avoid Pitfalls

A hands-on comparison of 6 open-source LLMs (DeepSeek, Qwen3, Zhipu GLM, Kimi K2, MiniMax M3, Tencent Hunyuan 3) for on-premise deployment—covering hardware cost, inference efficiency, and deployment difficulty.

Jul 9, 2026·7 min

Sakana Fugu vs GLM 5.2 Hands-On Test: Who Can Truly Challenge Top-Tier AI Models?

A head-to-head hands-on test of Sakana Fugu vs GLM 5.2 based on real Hermes agent workflows. Covering tool calling, frontend generation, and code improvement to reveal each model's true performance, speed, and value.

Jul 8, 2026·7 min

HuggingFace Open-Sources ml-intern: An AI Engineer That Reads Papers and Trains Models Autonomously

Hugging Face's open-source ml-intern autonomously reads papers, writes training scripts, and finetunes LLMs, deeply integrating the HF ecosystem and smolagents. Explore its features and impact on ML careers.

Jul 7, 2026·4 min

AI Agents in Action: A Complete Breakdown of Automated Vendor Onboarding

Why does vendor onboarding always drag on? The real bottleneck isn't the tasks — it's the waiting between them. Learn how AI agents automate cross-department workflows across procurement, legal, finance, and IT.

Jul 7, 2026·7 min

Andrew Ng Teams Up with LangChain: Core Principles of LangGraph Agent Development

Andrew Ng and LangChain CEO Harrison Chase present AI Agents in LangGraph, covering five core agent design patterns and LangGraph's graph-based framework for building cyclical agentic workflows.

Jul 7, 2026·7 min

Andrew Ng Teams Up with LangChain: Core Concepts of LangGraph Agent Development

Andrew Ng and LangChain CEO Harrison Chase's AI Agents in LangGraph course covers five agent design patterns and LangGraph's graph-based framework for building cyclical AI workflows.

Jul 7, 2026·7 min

The Complete Guide to AI-Powered Customer Service: How AI Is Reshaping Enterprise Service Systems

AI customer service is a core tool for digital transformation. This guide covers its value, use cases, and implementation logic, including efficiency gains, cost reduction, and data-driven optimization.

Jul 6, 2026·2 min

AI Large Model Development Learning Path: A Complete Guide from Zero to Enterprise Projects

A complete learning roadmap for AI large model development — covering Transformer, Prompt Engineering, RAG, LangChain, Agent development, fine-tuning, and deployment.

Jul 3, 2026·8 min

The Enterprise AI Flywheel: Building a Model-Eval Loop as a Competitive Moat

The core of enterprise AI isn't calling general models—it's building a self-reinforcing "model-harness-sandbox-eval" flywheel. This article analyzes the four components, tacit knowledge moats, and the "token value per watt" efficiency metric.

Jun 23, 2026·3 min

Playwright vs Selenium In-Depth Comparison: A Test Automation Tool Selection Guide for the AI Era

In-depth comparison of Playwright vs Selenium covering DevTools Protocol, async performance, smart locators, and AI MCP integration to help you choose the best automation testing tool.