#Qwen3.8
22 related articles
·3 分钟
Qwen3.8 Deep Dive: How Does a 2.4 Trillion Parameter MoE Model Claim Second Place?
Alibaba's Qwen3.8 challenges larger models with a 2.4T-parameter MoE architecture, claiming second only to Gemini. A deep dive into MoE mechanics, continuous updates, two-speed release strategy, and real local deployment requirements.
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·6 分钟
Hands-On with Qwen 3.8 Max: How an Open-Source Model Closes In on Top-Tier Closed Models
Qwen 3.8 Max has 2.4 trillion parameters and will be open-sourced. In KingBench testing it scored 81.25%, ranking second, beating Claude Opus 4.8 and trailing only Fable 5. A deep dive into its performance across 8 tests.
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·3 分钟
Qwen 3.8 Open Source Incoming, DeepSeek Coding Agent, and the Latest in China's AI Ecosystem
Qwen 3.8 open source incoming, DeepSeek Resonics native coding agent debuts, Kimi pauses new subscriptions amid compute pressure, and Qiyimole shows domestic GPU interconnect solution at WAIC.
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·3 分钟
AI Weekly: Sandbox Escape Sparks Safety Legislation, Kimi Open-Source Triggers Geopolitical Dynamics
Deep analysis of five key AI events this week: OpenAI sandbox escape driving safety legislation, Kimi K3 open-source sparking geopolitical debate, Gemini Flash full rollout, Anthropic's $1.5B copyright settlement, and Chinese models' mobile expansion.
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·3 分钟
Ollama Prepares for Trillion-Parameter Open-Source Models as the Open-Source Ecosystem Heats Up
Ollama scales up for trillion-parameter open-source models like Kimi K3 and Qwen 3.8. Hugging Face demands $100M from OpenAI, Alibaba Coder goes mobile, and DeepSeek pauses fundraising.
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·2 分钟
Three Chinese LLMs Launch in Parallel: Qwen, DeepSeek V4, and GLM Next-Gen Models Arriving Soon
Alibaba's next-gen Qwen, DeepSeek V4 GA, and Zhipu's new GLM are all nearing release. Explore the latest progress, hands-on results, and distillation controversy of China's top LLMs.
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·7 分钟
AI Daily: T-Head Open-Sources SAIL Software Stack at WAIC, Flurry of Large Model Releases
T-Head open-sources AI software stack T-Head SAIL at WAIC to lower the barrier for domestic chip development; Kimi K3 tops the WebDev leaderboard; Qwen 3.8 Max Preview cuts prices aggressively; Moonshot prepares a Hong Kong IPO; and Oracle switches its data center to a fuel cell microgrid.
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·3 分钟
Three Major Chinese AI Models Incoming: Qwen 4, DeepSeek V4, and GLM Next Version Breakdown
Alibaba Qwen 4, DeepSeek V4, and Zhipu GLM's next-gen models are all nearing release. A deep dive into the latest leaks, capability improvements, and timelines for these three Chinese AI flagships.
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·3 分钟
Claude Opus 5 Launch Imminent, Alibaba Qwen Officially Integrated into Apple Intelligence
Claude Opus 5 launches next week; Alibaba Qwen integrates into Apple Intelligence for Chinese users; 27B on-device model compressed to 3.8GB; open-source models narrow gap to closed-source by 3.3%.
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·2 分钟
Forge: Adding Reliability Guardrails to Local Model Tool Calling
Forge is an open-source Python middleware for local models (Ollama, llama.cpp, vLLM) that boosts tool-calling reliability via three-layer guardrails: validation, rescue parsing, and retry.
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·4 分钟
AMD Ryzen AI Halo Hands-On: Can x86 Architecture Challenge NVIDIA's DGX Spark?
In-depth review of the AMD Ryzen AI Halo mini AI box: powered by the Ryzen AI Max Plus 395 (Strix Halo) chip with 128GB unified memory, priced at $4,000. Compared against NVIDIA's DGX Spark across token generation, prefill speed, and x86 advantages.
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·2 分钟
Claude Sonnet 5 Leaked, Zhipu Hits HK$1 Trillion Market Cap: AI Industry Roundup for June 23
June 23 AI roundup: Claude Sonnet 5 leaked with 1M context window, Zhipu hits HK$1T market cap, Alibaba releases Happy Horse 1.1, and Sakana AI launches a multi-model orchestration system.
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·3 分钟
Complete Guide to LangChain 0.3: Module Architecture & Core Development in Practice
A deep dive into LangChain 0.3's module architecture, message abstraction, prompt templates, output parsers, LCEL chains, LangSmith tracing, and LangGraph for mastering LLM application development.
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教程攻略·2 分钟
OpenClaw Step-by-Step Deployment Guide: From Local Installation to Multi-Platform Integration
Step-by-step OpenClaw open-source AI agent deployment guide covering local setup, cloud deployment, WeChat and Feishu integration, and custom Skills development.
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产品体验·3 分钟
8K Stars on GitHub: Deep Dive into the Most Comprehensive LLM Resource Repository
Deep analysis of the awesome-LLM-resources project (8200+ GitHub Stars), covering multimodal AI, Agents, MCP protocol, model training, o1 reasoning, SLMs, and more for LLM practitioners.
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产品体验·3 分钟
awesome-LLM-resources: A Deep Dive into GitHub's 8K-Star Comprehensive LLM Learning Resource Repository
Deep dive into awesome-LLM-resources, a GitHub 8K-star project covering multimodal AI, AI Agents, MCP protocol, model training/inference, and AI coding tools — a one-stop LLM learning guide.
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产品体验·3 分钟
GitHub 8000+ Stars: A Deep Dive into awesome-LLM-resources — The Most Comprehensive Large Language Model Resource Collection
Deep dive into the GitHub 8000+ star project awesome-LLM-resources, covering LLM training, multimodal generation, AI Agents, MCP protocol, AI-assisted coding, and more for developers.
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产品体验·3 分钟
awesome-LLM-resources: Deep Dive into a GitHub 8000+ Star LLM Resource Collection
Deep dive into GitHub's 8000+ star project awesome-LLM-resources, covering AI Agents, model training, MCP protocol, multimodal generation and more across 10 core LLM directions.
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产品体验·5 分钟
awesome-LLM-resources: A Deep Dive into GitHub's 8K-Star Comprehensive LLM Resource Repository
Deep analysis of the GitHub project awesome-LLM-resources covering LLM training, inference, Agent, MCP, multimodal, small language models, o1 reasoning and more — an 8200+ Star one-stop LLM resource guide.
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教程攻略·3 分钟
Ollama Tutorial: The Open-Source Tool for Running DeepSeek and Other LLMs Locally with One Click
Complete guide to running LLMs locally with Ollama. Supports DeepSeek, Qwen, Gemma and more. 170K+ GitHub Stars, zero-config setup, full data privacy, no per-token API fees.
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