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AI Waka
AI Waka
Apr 24, 2026 · Artificial Intelligence

One Loop, Three Modes: A Practical Guide to Multi‑Agent Orchestration

The article explains how treating an AI system as multiple specialized agents—delegator, worker, and reviewer—running the same loop but with different configurations can prevent context overload, and it details three orchestration patterns (delegation, swarm, coordinator) along with tool partitioning to ensure reliable, scalable multi‑agent workflows.

AI agentsOrchestrationPrompt engineering
0 likes · 15 min read
One Loop, Three Modes: A Practical Guide to Multi‑Agent Orchestration
AI Explorer
AI Explorer
Apr 24, 2026 · Artificial Intelligence

DeepSeek-V4 Raises the Bar: 1.6T‑Parameter Open‑Source Model Challenges Closed‑Source Giants

DeepSeek-V4 introduces two open‑source LLMs—V4‑Pro with 1.6 trillion total parameters and V4‑Flash with 284 billion—offering a 1 million‑token context window, hybrid attention, multi‑head compression, and a new Muon optimizer, all under an MIT license that rivals top closed‑source models.

DeepSeek V4Hybrid AttentionMulti-head Compression
0 likes · 6 min read
DeepSeek-V4 Raises the Bar: 1.6T‑Parameter Open‑Source Model Challenges Closed‑Source Giants
DataFunTalk
DataFunTalk
Apr 24, 2026 · Artificial Intelligence

Exploring Multimodal GraphRAG: Document Intelligence, Knowledge Graphs, and Large‑Model Integration

This article presents a detailed technical walkthrough of multimodal GraphRAG, covering document‑intelligence parsing pipelines, layout‑analysis models, knowledge‑graph augmentation, multimodal indexing and retrieval, and a comparative analysis of RAG, GraphRAG, and KG‑QA approaches, with concrete examples, model sizes, benchmark scores, and research citations.

GraphRAGKnowledge GraphLayout Analysis
0 likes · 25 min read
Exploring Multimodal GraphRAG: Document Intelligence, Knowledge Graphs, and Large‑Model Integration
DataFunTalk
DataFunTalk
Apr 24, 2026 · Databases

DM GDMBASE V4.0: HyperRAG, Long‑Term Memory & NL Agents for Graph‑Vector AI

At the 2026 China Database Technology & Industry Conference, DM unveiled GDMBASE V4.0, a graph database that natively fuses vectors and graphs, introduces HyperRAG, long‑term memory, and a natural‑language agent, and delivers sub‑500 ms retrieval, 30% higher recall and 60% lower hallucination rates for AI workloads.

AI integrationHybrid RetrievalHyperRAG
0 likes · 12 min read
DM GDMBASE V4.0: HyperRAG, Long‑Term Memory & NL Agents for Graph‑Vector AI
Machine Heart
Machine Heart
Apr 24, 2026 · Artificial Intelligence

Cambricon Achieves Day‑0 Native Support for DeepSeek‑V4, Uniting Two Chinese AI Leaders

Cambricon leveraged its NeuWare stack and vLLM framework to deliver Day‑0 native support for DeepSeek‑V4‑flash (285 B) and DeepSeek‑V4‑pro (1.6 T), open‑sourcing the adaptation and showcasing rapid model migration alongside extreme performance optimizations across software and hardware layers.

AI inferenceCambriconDeepSeek-V4
0 likes · 5 min read
Cambricon Achieves Day‑0 Native Support for DeepSeek‑V4, Uniting Two Chinese AI Leaders
Baidu Intelligent Cloud Tech Hub
Baidu Intelligent Cloud Tech Hub
Apr 24, 2026 · Artificial Intelligence

LoongForge: Open‑Source Multimodal Training Framework Runs on GPU and Kunlun XPU with 45% Speedup

LoongForge is an open‑source, Megatron‑based multimodal training framework that unifies LLM, VLM, VLA and diffusion models, runs seamlessly on NVIDIA GPUs and Baidu Kunlun XPU, and delivers 15%‑45% end‑to‑end training acceleration while scaling linearly on thousands of cards.

GPUKunlun XPULoongForge
0 likes · 23 min read
LoongForge: Open‑Source Multimodal Training Framework Runs on GPU and Kunlun XPU with 45% Speedup
AI Era Action Guide
AI Era Action Guide
Apr 24, 2026 · Artificial Intelligence

DeepSeek-V4 Launches with 1M Token Context and Leading Open-Source Agent – A Chinese AI Milestone

DeepSeek has unveiled the V4 preview, offering two open‑source large language models—Pro (1.6 T parameters) and Flash (284 B)—both supporting 1 million‑token context, sparse‑attention efficiency gains, top‑ranked Agent capabilities, and competitive reasoning performance, marking a major milestone for Chinese AI.

1M token contextAgentDeepSeek
0 likes · 5 min read
DeepSeek-V4 Launches with 1M Token Context and Leading Open-Source Agent – A Chinese AI Milestone
Tech Musings
Tech Musings
Apr 24, 2026 · Artificial Intelligence

DeepSeek-V4 Unveiled: 1M Context Length and Ascend Compute Power

DeepSeek has launched the open‑source DeepSeek‑V4 series, offering Pro and Flash models with a 1 million token context window, a novel sparse attention mechanism, performance that rivals Opus 4.6 on coding and knowledge benchmarks, tiered pricing, and future cost reductions once Ascend 950 supernodes become widely available.

1M contextAI benchmarkingDeepSeek V4
0 likes · 5 min read
DeepSeek-V4 Unveiled: 1M Context Length and Ascend Compute Power
PaperAgent
PaperAgent
Apr 24, 2026 · Artificial Intelligence

Agent Skills Practical Guide: From Concept to Actionable AI Agents

The article explains Anthropic’s 2025 Agent Skills standard, how it enables AI to perform actions such as database queries and API calls, and provides a detailed guide covering its definition, modular design, industry adoption, and practical usage scenarios.

AI agentsAgent SkillsAnthropic
0 likes · 3 min read
Agent Skills Practical Guide: From Concept to Actionable AI Agents
Architects' Tech Alliance
Architects' Tech Alliance
Apr 24, 2026 · Artificial Intelligence

DeepSeek V4 Launches with 1M‑Token Context, Dual Versions and Native Chinese Chip Support

On April 24, 2026 DeepSeek released the V4 preview featuring two models—V4‑Pro with a 1.6 T‑parameter MoE architecture and V4‑Flash with 284 B parameters—both offering 1 million token context, up to 384 K output tokens, new step‑wise reasoning modes, and full native compatibility with Huawei Ascend and Cambricon chips, while delivering major efficiency gains and benchmark‑leading performance.

1M token contextCambriconDeepSeek
0 likes · 7 min read
DeepSeek V4 Launches with 1M‑Token Context, Dual Versions and Native Chinese Chip Support
Digital Planet
Digital Planet
Apr 24, 2026 · Industry Insights

From Deep Distribution to Omni-Fan Sales: 30 Lessons on the Marketing Leap

The article traces the 40‑year evolution of Chinese fast‑moving consumer goods marketing from wholesale and deep distribution to an omni‑fan sales model, explains why the old channel‑centric logic fails in a mature market, and outlines the digital‑enabled framework, key capabilities, brand case studies, and a step‑by‑step roadmap for brands to transition successfully.

Digital TransformationFMCGMarketing
0 likes · 21 min read
From Deep Distribution to Omni-Fan Sales: 30 Lessons on the Marketing Leap
Digital Planet
Digital Planet
Apr 24, 2026 · Industry Insights

How Much of Your Digital Marketing Budget Is Lost in the Hidden Funnel of Daily‑Chemistry Brand Incentives?

The article reveals that less than 30% of multi‑million‑yuan daily‑chemicals brand incentive budgets reach frontline sales guides due to a three‑layer digital funnel—system design flaws, poor user experience for older guides, and distributor interception—and proposes a full‑link F2b2C solution to close the leak.

AI verificationDigital MarketingFMCG
0 likes · 14 min read
How Much of Your Digital Marketing Budget Is Lost in the Hidden Funnel of Daily‑Chemistry Brand Incentives?
AI Engineering
AI Engineering
Apr 24, 2026 · Artificial Intelligence

DeepSeek V4 Unveiled: How Its Million-Token Context Redefines Open-Source LLMs

DeepSeek released the V4 preview, introducing V4‑Pro (1.6 T parameters, 49 B activation neurons, 33 T tokens) and V4‑Flash (284 B parameters, 13 B activation neurons, 32 T tokens) with 1 M token context, a novel DSA sparse attention that reduces compute and memory, and performance that rivals top closed‑source models in agentic coding, world‑knowledge and reasoning benchmarks, while offering an API compatible with OpenAI and Anthropic.

DeepSeekMillion-token ContextOpenAI API Compatibility
0 likes · 5 min read
DeepSeek V4 Unveiled: How Its Million-Token Context Redefines Open-Source LLMs