#Vision Transformer
623 related articles
·4 min
HAMAS Multi-Agent Framework in Practice: A Guide to Building 5 AI Personas Working in Harmony
Learn how to build a multi-Agent AI team with the HAMAS framework: 5 role configurations, Skill mechanisms, gradient model scheduling, and solutions for AI hallucination and deception.
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·3 min
The Complete Evolution of RAG: A Six-Generation Journey from Naive Retrieval to Multimodal
A complete guide to RAG evolution from Naive RAG through Advanced, Agentic, Graph, and Multimodal RAG — covering core techniques, pain points solved, and real-world use cases.
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·3 min
Microsoft Build 2026: In-Depth Analysis of the In-House Reasoning Model MAI Thinking-E and the Full AI Product Suite
Microsoft Build 2026 unveils MAI Thinking-E, its first in-house reasoning model with 1T MoE architecture, plus 6 vertical AI models. Deep dive into performance, strategy, and industry trends.
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·3 min
GML 5.2 Multimodal Upgrade Hands-On: Full Validation with DeepSeek V4
Hands-on testing of GML 5.2 and DeepSeek V4 multimodal upgrades on OneBlockBase, covering vision-text workflows, safety mechanisms, and deployment tips.
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·3 min
N2 Model as a Free Claude Code Alternative: Does Voice-Driven AI Coding Actually Work?
N2 model, built on Qwen 3.5, is completely free and integrates with Claude Code. Real-world tests show voice commands generating full landing pages, with AgentOS enabling shared memory and multi-model collaboration for zero-cost AI coding.
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·4 min
Codex Switch: A Deep Dive into the Protocol Translation Tool for Connecting DeepSeek to Codex
Learn how Codex Switch enables DeepSeek, GLM, and other models to seamlessly connect to OpenAI Codex CLI via local proxy protocol translation, vision augmentation, and web search.
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·2 min
Andrej Karpathy Joins Anthropic: A Top AI Researcher Returns to the Frontier
Andrej Karpathy officially joins Anthropic. The former OpenAI co-founder and Tesla AI director returns to frontier LLM R&D, signaling a pivotal moment in AI.
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·3 min
Fireworks AI Launches Qwen 3.7 Plus: Zero Data Retention and 99.9% SLA for Enterprise Deployment
Fireworks AI launches Qwen 3.7 Plus with latency/throughput optimization, zero data retention, and 99.9% SLA enterprise guarantees. Explore the full-stack deployment solution for commercial open-source model inference.
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·4 min
AI + Java Backend Learning Roadmap: Four Stages from CRUD to Senior AI Engineer
A complete AI + Java backend learning roadmap based on Spring AI Alibaba: from prompt engineering and LLM API integration to RAG knowledge bases and Agent systems across four stages.
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·2 min
OpenAI Codex Surpasses 5 Million Weekly Active Users: The Transformation from Code Tool to Knowledge Work Platform
OpenAI Codex hits 5M weekly active users, expanding beyond code generation into research, content creation, and operations — evolving into a full knowledge work platform.
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·3 min
Google Launches European Robotics Accelerator: 15 Startups Selected as the Physical AI Race Begins
Google launches its European Robotics Accelerator with 15 startups selected. The program offers Gemini Robotics models, AI stack access, and team support to advance Physical AI.
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·3 min
AI Large Model Learning Roadmap Breakdown: Three Stages from Application Development to Model Fine-Tuning
Deep breakdown of a popular AI large model learning roadmap covering LangChain, RAG, Agent, and LoRA fine-tuning across three stages, with analysis of its strengths and limitations for career changers.
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·2 min
Jeff Dean's Commencement Speech at UW Allen School: A Message to the Next Generation of Engineers in the AI Era
Jeff Dean delivers commencement speech at UW Allen School of Computer Science & Engineering, sharing insights with the next generation of CS graduates in the AI era.
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·4 min
Claude Code Workflow in Practice: From Requirement Grilling to AFK Agent Auto-Coding
A detailed walkthrough of building real features with Claude Code: Grill Me requirement interrogation, auto-generated PRDs, AFK agent coding, and QA iteration loops with DDD and TDD strategies.
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·4 min
Claude Code + Skills: A Practical Guide to AI-Powered Test Case Generation
Learn how to use Claude Code + Skills to auto-generate enterprise-grade test cases. Covers AI Agent vs LLM differences, the four core capabilities, and the complete workflow from requirements to test cases.
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·3 min
Biological Neurons vs. Artificial Neurons: How Big Is the Computational Gap?
Research shows biological neurons far outperform classical artificial neurons. Explore dendritic computing, temporal coding, and what this means for next-gen AI architecture design.
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·3 min
AI Large Language Models Explained: Transformer Architecture & Practical Testing Guide
Deep dive into AI large model principles, from Transformer architecture to probabilistic inference, with practical guidance on LLM applications in testing and AI testing strategies.
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·3 min
Vibe Coding Tutorial for Beginners: Three Steps from Idea to Product Launch
A complete Vibe Coding guide: use natural language to drive AI for product development — from ideation and PRD generation to UI design and code implementation. Build launchable products with zero coding skills.
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·2 min
What Signal Did Former Apple AI Chief Giannandrea Send by Appearing at WWDC?
Former Apple AI chief John Giannandrea appeared at WWDC as a VIP. This article analyzes the strategic signals behind this move and Apple's AI trajectory.
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·3 min
LFM2.5 Local Deployment Hands-On: An 8B Parameter Model That Outperforms GPT-o3s in Tool Calling
Hands-on test of Liquid AI's LFM2.5 local deployment: architecture breakdown, 16GB VRAM troubleshooting, and GraphRAG tool-calling benchmarks vs GPT-o3s.
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