513件の用語
2026年 AI業界主要trend。Reasoning Models主流(Claude Opus 4.7 Extended Thinking・OpenAI o3/o4・Gemini 2.5 Thinking・DeepSeek R1)・Long Context 1M+ standard(Claude 1M・Gemini 2M-10M)・MCP(Model Context Protocol)Anthropic主導・全Editor対応(Cursor/Cline/Zed)・Computer Use/Agent automation拡大(Claude/OpenAI Operator/Browser Use)・Multi-modal Vision native全モデル・Voice Realtime API低latency化(GPT-4o 320ms)・FP4 Tensor Core RTX 50/Blackwell GPU・Local LLM Mac Studio M4 Ultra 256GB Llama 70B Q4実用・OSS DeepSeek R1/Qwen 2.5/Mistral・Vector DB Qdrant/pgvector主流・2026年 Enterprise + Personal AI双方向加速。
RTX 5090 vs Mac Studio M4 Ultra Local LLM比較。RTX 5090(32GB GDDR7・1.79TB/s・575W・¥289k・PC本体¥600k+)・Llama 3.3 70B Q4_K_M(40GB)→Out of memory(GPU 32GB限界)・405B model→絶望(複数GPU要)・代替: 32B model実用 200 t/s・Mac Studio M4 Ultra 256GB Unified(546GB/s・100W average・¥499k本体完結)・Llama 3.3 70B Q8(70GB)実用 25-30 t/s・405B Q4(200GB)→ 8-12 t/s実用 with Memory Pressure・Performance: Inference RTX強・Capacity Mac Studio強・Power Efficiency Mac圧勝(W/token)・2026年 RTX inference・Mac Studio mass model実行。
AI Tool Comprehensive Best 2026年。Code Editor Tier 1: Claude Code(¥0 CLI・$20-200/mo Pro/Max・Anthropic公式・Mass appeal Best)・Cursor IDE($20-40/mo・mass appeal IDE)・Tier 2: Windsurf($15-60/mo・Cascade)・Zed(OSS・Rust・10倍速)・Tier 3 OSS Extension: Continue.dev・Cline・Aider CLI・LLM Model: Claude Opus 4.7($15/$75 Mtok・Code/Reasoning最強)・Sonnet 4.6($3/$15・Daily coding mass appeal)・Haiku 4.5($0.80/$4・Customer support/Voice)・GPT-4o($2.50/$10・Realtime API)・o3($15/$60・Reasoning・Math/Science)・Gemini 2.5 Pro($3.50/$10.50・2M context・Multimodal)・DeepSeek R1($2.19/M・OSS・Reasoning)・MCP Server: Filesystem/GitHub/Postgres/Slack(全 OSS install)・Local LLM: Ollama + Mac Studio M4 Ultra 256GB Llama 70B Q4・Vector DB: Qdrant + Qwen3-Embedding-8B・選択: Code = Claude Code+Sonnet・Reasoning = Claude Extended/o3・Cost-perf = Sonnet/Haiku・2026年 Claude Code市場リーダー。
AI Code Editor包括Recommend 2026年(全選択肢)。Tier 1 Premium Anthropic専用: Claude Code(¥0 CLI・Anthropic公式・$20-200/mo Pro/Max・Opus 4.7専用・MCP統合・Skills/Hooks/Subagents・Terminal-first・Computer Use・Mac/Win/Linux)・Tier 2 IDE Premium: Cursor IDE(VS Code fork・$20-40/mo・Claude/GPT/Gemini選択・Composer agent・Tab autocomplete・@Docs/@Codebase context・MCP対応 2024年12月-)・Tier 3 IDE Mid: Windsurf(Codeium・$15-60/mo・Cascade agent・Claude/GPT・MCP対応・$15 Pro tier最安)・Tier 4 OSS Premium: Zed(OSS・Rust製・Mac/Linux/Windows・Claude/GPT/Gemini integration・MCP native・collaborative・10倍 fast performance)・Tier 5 OSS Extension: Continue.dev(VS Code Extension・OSS・MCP)・Cline(VS Code Extension・OSS・MCP)・Aider CLI(Python・任意Model対応・git auto commit)・選択基準: Terminal自由 = Claude Code・IDE = Cursor・budget = Windsurf・OSS performance = Zed・2026年 Claude Code市場リーダー。
AI 2026年trend総括。Reasoning Models主流(Claude Opus 4.7 Extended Thinking・OpenAI o3/o4・Gemini 2.5 Thinking・DeepSeek R1)・Long Context 1M+ standard(Claude 1M・Gemini 2M-10M・GPT-4o 128K legacy)・MCP(Model Context Protocol)Anthropic主導・Editor統一(Cursor/Cline/Zed/Continue)・Computer Use/Agent automation拡大(Claude Computer Use・OpenAI Operator・Browser Use)・Multi-modal Vision native全モデル・Voice Realtime API低latency化(GPT-4o 320ms)・FP4 Tensor Core RTX 50/Blackwell GPU・Local LLM Mac Studio M4 Ultra 256GB Llama 70B Q4実用・OSS DeepSeek R1/Qwen 2.5/Mistral・Vector DB Qdrant/pgvector主流・Cost optimization Caching/Batch API/Sonnet主体・2026年 Enterprise + Personal AI双方向加速。
Transformerの計算を最適化し高速化・省メモリ化を実現する手法
LLM 4強選択 2026年。Claude Opus 4.7($15/$75・1M context・Code/Reasoning最強・Computer Use・MCP標準・Extended Thinking・Anthropic SDK)・OpenAI GPT-4o($2.50/$10・128K context・Realtime API 320ms・Vision native・Operator・大Mass appeal)・OpenAI o3($15/$60・Reasoning最強・Math/Science PhD・thinking model)・Google Gemini 2.5 Pro($3.50/$10.50・2M context・Deep Research・Multimodal)・Gemini 2.5 Flash($0.10/$0.40・cheap・Long context)・DeepSeek R1($2.19/M token・OSS MIT License・Reasoning・cost killer・local可)・選択: Code = Claude Opus・Long Context = Gemini 2M・Cost = GPT-4o mini/Gemini Flash/DeepSeek R1・Reasoning math = o3・Multimodal = Gemini・Local OSS = DeepSeek R1・2026年 Claude Code市場リーダー、Cost Sensitive DeepSeek/Gemini Flash。
低ランク行列で軽量にファインチューニングするLLM最適化技術
Claude Desktop/Code MCP Server install。1) Claude Desktop config: ~/Library/Application Support/Claude/claude_desktop_config.json (Mac) or %APPDATA%\Claude\claude_desktop_config.json (Win)・2) JSON edit: { "mcpServers": { "filesystem": { "command": "npx", "args": ["-y", "@modelcontextprotocol/server-filesystem", "/path/to/dir"] } } }・3) Claude Desktop restart→tool icon表示確認・4) Other servers: Github(env GITHUB_PERSONAL_ACCESS_TOKEN)・PostgreSQL(connection string)・Slack(env SLACK_BOT_TOKEN)・Google Drive(OAuth)・5) Claude Code: .claude/settings.json mcpServers同format・6) MCP Inspector debug tool・7) Custom server: FastMCP Python framework・stdio/SSE/HTTP transport・2026年 enterprise MCP server内製拡大、Claude Desktop config標準化。
MCP Server自作開発 tutorial(2026年)。Step 1: FastMCP framework(Python・@modelcontextprotocol/server-base代替)・pip install fastmcp・Step 2: Server import・@mcp.tool() decorator function定義・Step 3: Tools(name・description・input_schema)・Resources(URI based・read-only context)・Prompts(parameterized template)・Step 4: Transport: stdio(default・local Claude Desktop)・SSE(Server-Sent Events・remote)・HTTP(REST・remote standalone)・Step 5: Test: MCP Inspector debug tool(npx @modelcontextprotocol/inspector)・Step 6: Claude Desktop config(claude_desktop_config.json mcpServers section)・Step 7: Production: Docker containerize + HTTP transport・SDK: Python/TypeScript/Go/Rust(public)・Use case: Internal API integration・Database connector・Workflow automation・2026年 Enterprise内製拡大、$20-100k Custom MCP server market。
CPU/GPUからNPUへAI処理を委譲し効率化する設計手法
Claude 3-tier model選択指南 2026年。Claude Opus 4.7(claude-opus-4-7・$15/$75 per Mtok・1M context・Code/Reasoning最強・Computer Use・Extended Thinking 32k token・最Premium・slow latency・$0.30/conversation typical)・Claude Sonnet 4.6(claude-sonnet-4-6・$3/$15・200K context・Daily coding/Refactoring/Documentation・mass appeal Best Coding・Computer Use・balanced・$0.05/conversation typical)・Claude Haiku 4.5(claude-haiku-4-5-20251001・$0.80/$4・200K context・low latency 200ms・Customer support/Voice realtime/Translation・$0.01/conversation typical・cost-effective)・選択指南: Math/Science/Complex Code/Research = Opus・Daily coding/Standard Q&A = Sonnet(95% use case)・Customer support/Bulk processing/Voice = Haiku・Cost管理: Sonnet主体 + Opus complex limited・Caching -90%・Batch -50%・2026年 Sonnet daily defaultが mass appeal Best。
人間と同等の汎用的な知能を持つAIシステム。特定タスクに限定されない幅広い問題解決能力を持つ。
概要
LLM Alignment+Post-Training。RLHF Reinforcement Learning from Human Feedback (PPO・OpenAI ChatGPT)・DPO Direct Preference Optimization (Stanford 2023)・RLAIF Reinforcement Learning from AI Feedback (Anthropic Constitutional AI)・GRPO Group Relative Policy Optimization (DeepSeek R1)・KTO Kahneman-Tversky Optimization・SimPO・Online DPO・Iterative DPO・SFT Supervised Fine-Tuning・Reward Model RM・¥0 OSS、2026年GRPO Reasoning訓練主流。
LLMアライメント訓練手法。RLHF(Reward Model+PPO)・DPO(Direct Preference Optimization・OpenAI)・GRPO(Group Relative Policy Optimization・DeepSeek R1採用)・ORPO(Odds Ratio)・SimPO・KTO(Kahneman-Tversky)・IPO・SLiC-HF・RLAIF(AI feedback)・Constitutional AI(Anthropic)代表、2026年GRPO主流化・推論能力強化用。
RPA Robotic Process Automation 25年史 2001-2026。Blue Prism (2001 Britain Alastair Bathgate+David Moss・Process Studio・Mainframe Automation祖)・Automation Anywhere (2003 Mihir Shukla India SF・100k Customer 2024)・UiPath (2005 Ploiești Romania Daniel Dines+Marius Tirca→2017 IPO $35B Peak Bubble・Studio+Orchestrator+Robot)・Microsoft Power Automate Desktop (2018 旧 Softomotive買収・Win 11 Bundled FREE・$15/User/月 Cloud)+Power Automate (cloud)・Pega Systems (1983 BPM元祖→RPA加わる)・WorkFusion (2010 IPO 2024)・Kryon Systems (現Nintex)・SAP Build Process Automation (旧Contextor 2018買収)・NICE NEVA→Workforce Management・Tungsten Automation 旧 Kofax (2024)・Selenium (2004 Open Source・Web Test→RPA転用)・AutoIt+AutoHotkey (Windows scripting)・Sikuli (2010 MIT Image Recognition)・GUI Native Recording: Win32 API+UIA UI Automation+MSAA・OCR統合+ML+IDP Intelligent Document Processing・Hyperautomation (2020 Gartner Top Strategic・RPA+AI+ML+API+BPM統合)・AI Agent Era (2023+ ChatGPT Plugins→Agentic Workflow・Claude Computer Use 2024年10月→AI Native Computer Operation)・n8n (2019 FOSS Self-Hosted)+Zapier (2011 Cloud)+Make.com 旧Integromat・Bardeen.ai+Adept.ai+OpenAdapt・¥¥¥¥-¥¥¥¥¥¥/月 Per Bot 2026 RPA $20B+ Market UiPath+Power Automate2強。
IBM社2024年公開156qubit量子プロセッサ。Heron r1(2023)→r2(2024)で誤り3-5倍低減、Quantum System Two搭載。2025年Quantum Starling 200 logical qubit目標。
中国Axera Semi社2023年公開Edge AI SoC。Cortex-A55 8コア + 72 TOPS NPU INT8 @ 8W、Hailo-8/Jetson Orin の競合台頭。