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4.1.0：TRT-LLM統合、推論サーバーのセキュリティ強化https://devotd.net/ko/news/xinference-4-1-inference-security-upgrades/devotd.ko2026-10-25T13:39:45ZXinference 4.1.0: TRT-LLM 통합, 추론 서버 보안 강화https://devotd.net/zh-hans/news/xinference-4-1-inference-security-upgrades/devotd.zh-cn2026-10-25T13:39:45ZXinference 4.1.0：集成 TRT-LLM，加强推理服务器安全https://devotd.net/en/news/tensorsharp-deepseek-v4-1-flash-1017-gpu-resident-tp-yoco/devotd.en2026-10-25T10:11:31ZTensorSharp 2026.10.23: Higher input throughput, approximate computation enabled by defaulthttps://devotd.net/ja/news/tensorsharp-deepseek-v4-1-flash-1017-gpu-resident-tp-yoco/devotd.ja2026-10-25T10:11:31ZTensorSharp 2026.10.23：入力処理量の改善、近似計算のデフォルト適用https://devotd.net/ko/news/tensorsharp-deepseek-v4-1-flash-1017-gpu-resident-tp-yoco/devotd.ko2026-10-25T10:11:31ZTensorSharp 2026.10.23: 입력 처리량 개선, 근사 계산 기본 적용https://devotd.net/zh-hans/news/tensorsharp-deepseek-v4-1-flash-1017-gpu-resident-tp-yoco/devotd.zh-cn2026-10-25T10:11:31ZTensorSharp 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0.40.11：ローカル音声生成、d3決定モデルhttps://devotd.net/ko/news/ollama-0-40-11-speech-d3/devotd.ko2026-10-24T23:20:57ZOllama 0.40.11: 로컬 음성 생성, d3 결정 모델https://devotd.net/zh-hans/news/ollama-0-40-11-speech-d3/devotd.zh-cn2026-10-24T23:20:57ZOllama 0.40.11：本地语音生成，d3 决策模型https://devotd.net/en/news/qwen-code-0-26-1-daemon-managed-sessions/devotd.en2026-10-24T23:19:06ZQwen Code 0.26.1: Daemon token management, session recovery controlhttps://devotd.net/ja/news/qwen-code-0-26-1-daemon-managed-sessions/devotd.ja2026-10-24T23:19:06ZQwen Code 0.26.1：デーモントークン管理、セッション復旧制御https://devotd.net/ko/news/qwen-code-0-26-1-daemon-managed-sessions/devotd.ko2026-10-24T23:19:06ZQwen Code 0.26.1: 데몬 토큰 관리, 세션 복구 제어https://devotd.net/zh-hans/news/qwen-code-0-26-1-daemon-managed-sessions/devotd.zh-cn2026-10-24T23:19:06ZQwen Code 0.26.1：守护进程令牌管理，会话恢复控制https://devotd.net/en/news/unsloth-flint-40b-moe-local-coding/devotd.en2026-10-24T19:26:10ZRecursive Flint: 3-bit local execution, coding agent integrationhttps://devotd.net/ja/news/unsloth-flint-40b-moe-local-coding/devotd.ja2026-10-24T19:26:10ZRecursive Flint：3ビットのローカル実行、コーディングエージェントとの接続https://devotd.net/ko/news/unsloth-flint-40b-moe-local-coding/devotd.ko2026-10-24T19:26:10ZRecursive Flint: 3비트 로컬 실행, 코딩 에이전트 연결https://devotd.net/zh-hans/news/unsloth-flint-40b-moe-local-coding/devotd.zh-cn2026-10-24T19:26:10ZRecursive Flint：3位本地运行，连接编程智能体https://devotd.net/en/news/github-copilot-teams-agent-workflow/devotd.en2026-10-24T17:26:06ZGitHub Copilot in Teams: Unified notifications, issue-to-pull-request workflowhttps://devotd.net/ja/news/github-copilot-teams-agent-workflow/devotd.ja2026-10-24T17:26:06ZGitHub Copilot in Teams：通知の統合、イシューからプルリクエストへの流れhttps://devotd.net/ko/news/github-copilot-teams-agent-workflow/devotd.ko2026-10-24T17:26:06ZGitHub Copilot in Teams: 알림 통합, 이슈-풀 리퀘스트 흐름https://devotd.net/zh-hans/news/github-copilot-teams-agent-workflow/devotd.zh-cn2026-10-24T17:26:06ZGitHub Copilot in Teams：通知整合、议题到拉取请求的流程https://devotd.net/en/news/langfuse-4-70-ai-gateway-topics-batch-evals/devotd.en2026-10-24T17:24:31ZLangfuse 4.70.0: Topics API, Batch Evaluation Automationhttps://devotd.net/ja/news/langfuse-4-70-ai-gateway-topics-batch-evals/devotd.ja2026-10-24T17:24:31ZLangfuse 4.70.0：Topics API、バッチ評価の自動化https://devotd.net/ko/news/langfuse-4-70-ai-gateway-topics-batch-evals/devotd.ko2026-10-24T17:24:31ZLangfuse 4.70.0: Topics API, 배치 평가 자동화https://devotd.net/zh-hans/news/langfuse-4-70-ai-gateway-topics-batch-evals/devotd.zh-cn2026-10-24T17:24:31ZLangfuse 4.70.0：Topics API，批量评估自动化https://devotd.net/en/news/deepseek-v4-1-flash-1017-gsq-rco-gguf/devotd.en2026-10-24T16:17:52ZDeepSeek-V4.1-Flash-1017: Non-uniform quantization, 12GB GPU inferencehttps://devotd.net/ja/news/deepseek-v4-1-flash-1017-gsq-rco-gguf/devotd.ja2026-10-24T16:17:52ZDeepSeek-V4.1-Flash-1017：非均一量子化、12GB GPU推論https://devotd.net/ko/news/deepseek-v4-1-flash-1017-gsq-rco-gguf/devotd.ko2026-10-24T16:17:52ZDeepSeek-V4.1-Flash-1017: 비균일 양자화, 12GB GPU 추론https://devotd.net/zh-hans/news/deepseek-v4-1-flash-1017-gsq-rco-gguf/devotd.zh-cn2026-10-24T16:17:52ZDeepSeek-V4.1-Flash-1017：非均匀量化，12GB GPU 推理https://devotd.net/en/news/microsoft-agent-lightning-v1/devotd.en2026-10-24T13:23:37ZAgent Lightning v1.0: Real harness integration, shared GPU usehttps://devotd.net/ja/news/microsoft-agent-lightning-v1/devotd.ja2026-10-24T13:23:37ZAgent Lightning v1.0：実際のハーネスとの接続、GPUの共同利用https://devotd.net/ko/news/microsoft-agent-lightning-v1/devotd.ko2026-10-24T13:23:37ZAgent Lightning v1.0: 실제 하네스 연결, GPU 공동 활용https://devotd.net/zh-hans/news/microsoft-agent-lightning-v1/devotd.zh-cn2026-10-24T13:23:37ZAgent Lightning v1.0：连接实际运行框架，共享 GPU 资源https://devotd.net/en/news/lm-studio-bionic/devotd.en2026-10-24T13:19:32ZLM Studio Bionic: Open-model agents, local and cloud optionshttps://devotd.net/ja/news/lm-studio-bionic/devotd.ja2026-10-24T13:19:32ZLM Studio Bionic：オープンモデルのエージェント、ローカル・クラウドの選択https://devotd.net/ko/news/lm-studio-bionic/devotd.ko2026-10-24T13:19:32ZLM Studio Bionic: 오픈 모델 에이전트, 로컬·클라우드 선택https://devotd.net/zh-hans/news/lm-studio-bionic/devotd.zh-cn2026-10-24T13:19:32ZLM Studio Bionic：开放模型智能体，本地与云端选择https://devotd.net/en/news/nanostories-50m-rule-generated-language-model-dataset/devotd.en2026-10-24T11:24:36ZNanoStories: Small language model data, 50 million rule-based storieshttps://devotd.net/ja/news/nanostories-50m-rule-generated-language-model-dataset/devotd.ja2026-10-24T11:24:36ZNanoStories：小型言語モデル向けデータ、ルールで生成した5千万編の物語https://devotd.net/ko/news/nanostories-50m-rule-generated-language-model-dataset/devotd.ko2026-10-24T11:24:36ZNanoStories: 소형 언어 모델 데이터, 규칙 기반 이야기 5천만 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optimizationhttps://devotd.net/ja/news/kapitsa-kflash-speculative-decoding/devotd.ja2026-10-23T23:45:19ZKapitsa KFlash：候補ツリーの検証、スループットの最適化https://devotd.net/ko/news/kapitsa-kflash-speculative-decoding/devotd.ko2026-10-23T23:45:19ZKapitsa KFlash: 후보 트리 검증, 처리량 최적화https://devotd.net/zh-hans/news/kapitsa-kflash-speculative-decoding/devotd.zh-cn2026-10-23T23:45:19ZKapitsa KFlash：候选树验证，吞吐量优化https://devotd.net/en/news/qoder-better-harness-open-source/devotd.en2026-10-23T23:30:02ZBetter Harness: Evidence-based work evaluation, paths to improvementhttps://devotd.net/ja/news/qoder-better-harness-open-source/devotd.ja2026-10-23T23:30:02ZBetter Harness：作業の根拠を評価、改善への道筋https://devotd.net/ko/news/qoder-better-harness-open-source/devotd.ko2026-10-23T23:30:02ZBetter Harness: 작업 근거 평가, 개선 경로https://devotd.net/zh-hans/news/qoder-better-harness-open-source/devotd.zh-cn2026-10-23T23:30:02ZBetter Harness：任务证据评估，改进路径https://devotd.net/en/news/tensorrt-global-performance-tuner-build-routes/devotd.en2026-10-23T22:41:59ZTensorRT 11.1: Model-specific build route search, accuracy constraintshttps://devotd.net/ja/news/tensorrt-global-performance-tuner-build-routes/devotd.ja2026-10-23T22:41:59ZTensorRT 11.1：モデル別ビルド経路の探索、精度制約https://devotd.net/ko/news/tensorrt-global-performance-tuner-build-routes/devotd.ko2026-10-23T22:41:59ZTensorRT 11.1: 모델별 빌드 경로 탐색, 정확도 제약https://devotd.net/zh-hans/news/tensorrt-global-performance-tuner-build-routes/devotd.zh-cn2026-10-23T22:41:59ZTensorRT 11.1：探索模型专属构建路径，准确度约束