{"@context":"https://schema.org","@type":"NewsArticle","generatedAt":"2026-09-28T06:03:00.468Z","headline":"Hugging Face 推出 ML Intern，通过聊天即可运行机器学习实验","description":"Hugging Face 推出内置于聊天机器人的 AI 助手 ML Intern，让没有 ML 专长的用户通过对话运行机器学习实验。它会搜索 Hugging Face Hub、GitHub 和网络寻找模型、数据集和工具，先估算算力成本并给出预算，获批后不超过限额；可自主创建数据集、训练模型、监控任务、上传结果、写报告和构建 demo，每个训练任务有独立仪表盘。","url":"https://www.aioga.com/news/cmttzipvw0sqkrofpfb16h59v/","mainEntityOfPage":"https://www.aioga.com/news/cmttzipvw0sqkrofpfb16h59v/","datePublished":"2026-09-09T10:38:41.000Z","dateModified":"2026-09-09T10:38:41.000Z","inLanguage":"zh-CN","publisher":{"@type":"NewsMediaOrganization","name":"Aioga","url":"https://www.aioga.com"},"citation":["https://the-decoder.com/hugging-faces-new-ml-intern-lets-anyone-run-machine-learning-experiments-through-a-simple-chat","https://aihot.news/items/cmttzipvw0sqkrofpfb16h59v"],"canonicalUrl":"https://www.aioga.com/news/cmttzipvw0sqkrofpfb16h59v/","directAnswer":{"@type":"Answer","text":"Hugging Face推出内置于聊天机器人的AI助手ML Intern，用户可通过对话描述想法并运行机器学习实验，无需具备机器学习专长。","url":"https://www.aioga.com/news/cmttzipvw0sqkrofpfb16h59v/","dateCreated":"2026-09-09T10:38:41.000Z","author":{"@type":"Organization","@id":"https://www.aioga.com/authors/aioga-editorial/#editorial-team","name":"Aioga Editorial Team","url":"https://www.aioga.com/authors/aioga-editorial/"}},"evidence":[{"@type":"CreativeWork","name":"the-decoder.com source article","url":"https://the-decoder.com/hugging-faces-new-ml-intern-lets-anyone-run-machine-learning-experiments-through-a-simple-chat","datePublished":"2026-09-09T10:38:41.000Z","provider":{"@type":"Organization","name":"the-decoder.com","url":"https://the-decoder.com/hugging-faces-new-ml-intern-lets-anyone-run-machine-learning-experiments-through-a-simple-chat"}},{"@type":"CreativeWork","name":"AIHot archive record","url":"https://aihot.news/items/cmttzipvw0sqkrofpfb16h59v","datePublished":"2026-09-09T10:38:41.000Z","provider":{"@type":"Organization","name":"AIHot","url":"https://aihot.news/items/cmttzipvw0sqkrofpfb16h59v"}}],"aggregationSource":"The Decoder：AI News（RSS）","originalPublisher":{"name":"the-decoder.com","url":"https://the-decoder.com/hugging-faces-new-ml-intern-lets-anyone-run-machine-learning-experiments-through-a-simple-chat"},"geoDeepAnswer":null,"article":{"id":"cmttzipvw0sqkrofpfb16h59v","slug":"cmttzipvw0sqkrofpfb16h59v","url":"https://www.aioga.com/news/cmttzipvw0sqkrofpfb16h59v/","title":"Hugging Face 推出 ML Intern，通过聊天即可运行机器学习实验","title_en":"","summary":"Hugging Face 推出内置于聊天机器人的 AI 助手 ML Intern，让没有 ML 专长的用户通过对话运行机器学习实验。它会搜索 Hugging Face Hub、GitHub 和网络寻找模型、数据集和工具，先估算算力成本并给出预算，获批后不超过限额；可自主创建数据集、训练模型、监控任务、上传结果、写报告和构建 demo，每个训练任务有独立仪表盘。","source":"The Decoder：AI News（RSS）","sourceUrl":"https://the-decoder.com/hugging-faces-new-ml-intern-lets-anyone-run-machine-learning-experiments-through-a-simple-chat","aiHotUrl":"https://aihot.news/items/cmttzipvw0sqkrofpfb16h59v","publishedAt":"2026-09-09T10:38:41.000Z","category":"行业动态","score":58,"selected":false,"articleBody":["Hugging Face launched \"ML Intern,\" an AI assistant built into its chatbot that lets users run machine learning experiments without any ML expertise. Users start by describing their idea in a conversation. The assistant：https://huggingface.co/chat/ then searches the Hugging Face Hub, GitHub, and the web to find the right models, datasets, and tools. Before kicking anything off, ML Intern estimates the required compute costs and suggests a budget. Once approved, it won't exceed that limit.","From there, the system works on its own. It can create datasets, train models, monitor running jobs, upload results to the Hub, write reports, and build demos. Each training run gets its own dashboard for tracking progress. One example from the demo video ran for about six hours and cost less than $0.50, according to Hugging Face.","The tool lowers the barrier for new ML projects on the platform. Meanwhile, Hugging Face itself is in the middle of an acquisition by Nvidia：https://the-decoder.com/nvidia-buys-the-front-door-to-open-ai-as-closed-labs-increasingly-design-their-own-silicon/. CEO Jensen Huang has promised to keep the platform open and hardware-neutral. Ad Ad","Stay in the loop on AI. Clear, useful, no fluff.","Follow The Decoder for AI news, background stories and expert analyses.","The Decoder：https://the-decoder.com/"],"articleImages":[],"mediaStatus":"none","articleBodyZh":["Hugging Face 推出了“ML Intern”，这是一个内置于其聊天机器人的 AI 助手，让用户无需任何机器学习专业知识即可运行机器学习实验。用户首先在对话中描述他们的想法。该助手：https://huggingface.co/chat/ 然后搜索 Hugging Face Hub、GitHub 和网络，以找到合适的模型、数据集和工具。在开始任何操作之前，ML Intern 会估算所需的计算成本并建议预算。一旦批准，它将不会超过该限制。","从此系统将自主运行。它可以创建数据集、训练模型、监控运行中的任务、将结果上传到 Hub、撰写报告以及构建演示。每次训练运行都会有自己的仪表板用于跟踪进度。根据 Hugging Face 的说法，演示视频中的一个示例运行了大约六个小时，花费不到 0.50 美元。","该工具降低了在平台上开展新 ML 项目的门槛。与此同时，Hugging Face 本身正处于被 Nvidia 收购的过程中：https://the-decoder.com/nvidia-buys-the-front-door-to-open-ai-as-closed-labs-increasingly-design-their-own-silicon/。CEO 黄仁勋承诺会保持平台开放且硬件中立。广告 广告","保持对 AI 的关注。清晰、有用、无废话。","关注 The Decoder 获取 AI 新闻、背景故事和专家分析。","解码器：https://the-decoder.com/"],"translationStatus":"translated","bodyOrigin":"source-page","editorial":{"summary":"Hugging Face推出内置于聊天机器人的AI助手ML Intern，用户可通过对话描述想法并运行机器学习实验，无需具备机器学习专长。","background":"ML Intern会搜索Hugging Face Hub、GitHub和网络中的模型、数据集与工具，先估算算力成本并提出预算；获批后按限额执行，还可创建数据集、训练模型、监控任务、上传结果、撰写报告和构建演示。","viewpoint":"Aioga 判断：ML Intern将机器学习实验中的资源检索、训练执行和结果整理集中到聊天流程中，显示出平台正尝试降低新项目的操作门槛，但其实际适用范围仍需更多公开案例验证。","implications":"可能影响：用户启动机器学习项目时，可能更依赖对话式工具完成前期准备和任务管理；预算审批与限额机制值得关注，但不代表实验结果质量、成本稳定性或复杂任务适配能力已经得到充分证明。","nextStep":"后续观察：需要关注ML Intern在更多模型、数据集和训练任务中的表现，以及预算估算、任务监控、结果上传和报告生成是否持续符合用户预期。","evidenceRefs":["title","summary","articleBody","source"],"status":"published","aiGenerated":true,"autoApproved":true,"generatedBy":"aioga-editorial:gpt-5.6-sol","reviewedBy":"aioga-editorial-review:gpt-5.6-sol","generatedAt":"2026-09-09T12:46:47.544Z","sourceHash":"d9ea1605b1d3ca66","review":{"approved":true,"groundedness":94,"clarity":92,"duplicationRisk":28,"blockingIssues":[],"notes":["“实际适用范围仍需更多公开案例验证”属于审慎的分析性判断，已明确作为观点表达，不构成事实错误。","“可能影响”和“值得关注”等表述保留了不确定性，未将潜在影响或待验证事项冒充为已证实事实。"]},"validation":{"passed":true,"mode":"ai-auto","revisions":0,"checks":["schema","length","source-attribution","editorial-labels","inference-boundary","low-source-overlap","no-html","independent-ai-review"]}},"tags":["行业动态","The Decoder：AI News（RSS）"],"translations":{"zh-CN":{"title":"Hugging Face 推出 ML Intern，通过聊天即可运行机器学习实验","summary":"Hugging Face 推出内置于聊天机器人的 AI 助手 ML Intern，让没有 ML 专长的用户通过对话运行机器学习实验。它会搜索 Hugging Face Hub、GitHub 和网络寻找模型、数据集和工具，先估算算力成本并给出预算，获批后不超过限额；可自主创建数据集、训练模型、监控任务、上传结果、写报告和构建 demo，每个训练任务有独立仪表盘。","category":"行业动态","source":"the-decoder.com","aggregationSource":"The Decoder：AI News（RSS）","pageTitle":"Hugging Face 推出 ML Intern，通过聊天即可运行机器学习实验 - Aioga AI资讯","description":"Hugging Face 推出内置于聊天机器人的 AI 助手 ML Intern，让没有 ML 专长的用户通过对话运行机器学习实验。它会搜索 Hugging Face Hub、GitHub 和网络寻找模型、数据集和工具，先估算算力成本并给出预算，获批后不超过限额；可自主创建数据集、训练模型、监控任务、上传结果、写报告和构建 demo，每个训练任务有独立仪表盘...","url":"https://www.aioga.com/news/cmttzipvw0sqkrofpfb16h59v/","articleBody":["Hugging Face 推出了“ML Intern”，这是一个内置于其聊天机器人的 AI 助手，让用户无需任何机器学习专业知识即可运行机器学习实验。用户首先在对话中描述他们的想法。该助手：https://huggingface.co/chat/ 然后搜索 Hugging Face Hub、GitHub 和网络，以找到合适的模型、数据集和工具。在开始任何操作之前，ML Intern 会估算所需的计算成本并建议预算。一旦批准，它将不会超过该限制。","从此系统将自主运行。它可以创建数据集、训练模型、监控运行中的任务、将结果上传到 Hub、撰写报告以及构建演示。每次训练运行都会有自己的仪表板用于跟踪进度。根据 Hugging Face 的说法，演示视频中的一个示例运行了大约六个小时，花费不到 0.50 美元。","该工具降低了在平台上开展新 ML 项目的门槛。与此同时，Hugging Face 本身正处于被 Nvidia 收购的过程中：https://the-decoder.com/nvidia-buys-the-front-door-to-open-ai-as-closed-labs-increasingly-design-their-own-silicon/。CEO 黄仁勋承诺会保持平台开放且硬件中立。广告 广告","保持对 AI 的关注。清晰、有用、无废话。","关注 The Decoder 获取 AI 新闻、背景故事和专家分析。","解码器：https://the-decoder.com/"]},"en":{"title":"Hugging Face launched ML Intern, enabling machine learning experiments to run through chat","summary":"Hugging Face launched the AI assistant ML Intern built into chatbots, allowing users without ML expertise to run machine learning experiments through conversation. It searches Hugging Face Hub, GitHub, and the web for models, datasets, and tools, first estimates computing power costs and provides a budget, and after approval, does not exceed the limit; It can independently create datasets, train models, monitor tasks, upload results, write reports, and build demos, with each training task having an independent dashboard.","category":"Industry","source":"The Decoder：AI News（RSS）","aggregationSource":"The Decoder：AI News（RSS）","pageTitle":"Hugging Face launched ML Intern, enabling machine learning experiments to run through chat - Aioga AI News","description":"Hugging Face launched the AI assistant ML Intern built into chatbots, allowing users without ML expertise to run machine learning experiments through conversation. It searches Hugg...","url":"https://www.aioga.com/en/news/cmttzipvw0sqkrofpfb16h59v/","contentTranslated":true,"sourceHash":"40b8632ae087570f","translatedAt":"2026-09-09T11:23:31.949Z"},"ja":{"title":"Hugging FaceはML Internを立ち上げ、チャットを通じて機械学習の実験を実行できるようにしました","summary":"Hugging Faceはチャットボットに組み込まれたAIアシスタント「ML Intern」をリリースし、MLの専門知識がないユーザーが会話を通じて機械学習実験を実行できるようにします。Hugging Face Hub、GitHub、ウェブ上でモデル、データセット、ツールを検索し、まず計算能力の見積もりと予算を提示し、承認後は制限を超えません。データセットの作成、モデルのトレーニング、タスクの監視、結果のアップロード、レポート作成、デモの作成が可能で、各トレーニングタスクには独立したダッシュボードがあります。","category":"業界動向","source":"The Decoder：AI News（RSS）","aggregationSource":"The Decoder：AI News（RSS）","pageTitle":"Hugging FaceはML Internを立ち上げ、チャットを通じて機械学習の実験を実行できるようにしました - Aioga AIニュース","description":"Hugging Faceはチャットボットに組み込まれたAIアシスタント「ML Intern」をリリースし、MLの専門知識がないユーザーが会話を通じて機械学習実験を実行できるようにします。Hugging Face Hub、GitHub、ウェブ上でモデル、データセット、ツールを検索し、まず計算能力の見積もりと予算を提示し、承認後は制限を超えません。データセットの...","url":"https://www.aioga.com/ja/news/cmttzipvw0sqkrofpfb16h59v/","contentTranslated":true,"sourceHash":"40b8632ae087570f","translatedAt":"2026-09-09T11:23:32.314Z"},"ko":{"title":"Hugging Face는 ML Intern을 출시하여 머신러닝 실험을 채팅으로 진행할 수 있게 했습니다","summary":"Hugging Face는 챗봇에 내장된 AI 어시스턴트 ML Intern을 출시하여, ML 전문 지식이 없는 사용자도 대화를 통해 머신러닝 실험을 수행할 수 있게 합니다. Hugging Face Hub, GitHub, 웹에서 모델, 데이터셋, 도구를 검색하고, 먼저 컴퓨팅 파워 비용을 추정하고 예산을 제공하며, 승인 후에는 한도를 초과하지 않습니다; 독립적으로 데이터셋을 생성하고, 모델을 훈련시키며, 작업 모니터링, 결과 업로드, 보고서 작성, 데모 구축이 가능하며, 각 학습 작업은 독립적인 대시보드를 가지고 있습니다.","category":"업계 동향","source":"The Decoder：AI News（RSS）","aggregationSource":"The Decoder：AI News（RSS）","pageTitle":"Hugging Face는 ML Intern을 출시하여 머신러닝 실험을 채팅으로 진행할 수 있게 했습니다 - Aioga AI 뉴스","description":"Hugging Face는 챗봇에 내장된 AI 어시스턴트 ML Intern을 출시하여, ML 전문 지식이 없는 사용자도 대화를 통해 머신러닝 실험을 수행할 수 있게 합니다. Hugging Face Hub, GitHub, 웹에서 모델, 데이터셋, 도구를 검색하고, 먼저 컴퓨팅 파워 비용을 추정하고 예산을 제공하며, 승인 후에...","url":"https://www.aioga.com/ko/news/cmttzipvw0sqkrofpfb16h59v/","contentTranslated":true,"sourceHash":"40b8632ae087570f","translatedAt":"2026-09-09T11:23:41.424Z"},"es":{"title":"Hugging Face lanzó ML Intern, permitiendo que experimentos de aprendizaje automático se ejecuten a través del chat","summary":"Hugging Face lanzó el asistente de IA ML Intern integrado en chatbots, permitiendo a usuarios sin experiencia en ML realizar experimentos de aprendizaje automático a través de la conversación. Busca en Hugging Face Hub, GitHub y la web modelos, conjuntos de datos y herramientas, primero estima los costes de potencia de cálculo y proporciona un presupuesto, y tras la aprobación, no supera el límite; Puede crear conjuntos de datos de forma independiente, entrenar modelos, monitorizar tareas, subir resultados, redactar informes y construir demos, con cada tarea de entrenamiento teniendo un panel de control independiente.","category":"Industria","source":"The Decoder：AI News（RSS）","aggregationSource":"The Decoder：AI News（RSS）","pageTitle":"Hugging Face lanzó ML Intern, permitiendo que experimentos de aprendizaje automático se ejecuten a través del chat - Aioga Noticias de IA","description":"Hugging Face lanzó el asistente de IA ML Intern integrado en chatbots, permitiendo a usuarios sin experiencia en ML realizar experimentos de aprendizaje automático a través de la c...","url":"https://www.aioga.com/es/news/cmttzipvw0sqkrofpfb16h59v/","contentTranslated":true,"sourceHash":"40b8632ae087570f","translatedAt":"2026-09-09T11:23:41.433Z"},"fr":{"title":"Hugging Face a lancé ML Intern, permettant aux expériences d’apprentissage automatique de se dérouler via le chat","summary":"Hugging Face a lancé l’assistant IA ML Intern intégré aux chatbots, permettant aux utilisateurs sans expertise en apprentissage automatique de mener des expériences d’apprentissage automatique via la conversation. Il recherche des modèles, jeux de données et outils sur Hugging Face Hub, GitHub et le web, estime d’abord les coûts de puissance de calcul et fournit un budget, et après approbation, ne dépasse pas la limite ; Il peut créer de manière indépendante des jeux de données, entraîner des modèles, surveiller des tâches, télécharger des résultats, rédiger des rapports et construire des démonstrations, chaque tâche d’entraînement disposant d’un tableau de bord indépendant.","category":"Industrie","source":"The Decoder：AI News（RSS）","aggregationSource":"The Decoder：AI News（RSS）","pageTitle":"Hugging Face a lancé ML Intern, permettant aux expériences d’apprentissage automatique de se dérouler via le chat - Aioga Actualités IA","description":"Hugging Face a lancé l’assistant IA ML Intern intégré aux chatbots, permettant aux utilisateurs sans expertise en apprentissage automatique de mener des expériences d’apprentissage...","url":"https://www.aioga.com/fr/news/cmttzipvw0sqkrofpfb16h59v/","contentTranslated":true,"sourceHash":"40b8632ae087570f","translatedAt":"2026-09-09T11:23:50.786Z"},"de":{"title":"Hugging Face brachte ML Intern auf den Markt, wodurch maschinelle Lernexperimente im Chat durchgeführt werden können","summary":"Hugging Face hat den KI-Assistenten ML Intern eingeführt, der in Chatbots integriert ist und es Nutzern ohne ML-Erfahrung ermöglicht, maschinelle Lernexperimente per Gespräch durchzuführen. Es durchsucht Hugging Face Hub, GitHub und das Web nach Modellen, Datensätzen und Werkzeugen, schätzt zunächst die Rechenleistungskosten und stellt ein Budget bereit – und überschreitet nach der Genehmigung das Limit nicht; Es kann Datensätze unabhängig erstellen, Modelle trainieren, Aufgaben überwachen, Ergebnisse hochladen, Berichte schreiben und Demos erstellen, wobei jede Trainingsaufgabe ein eigenständiges Dashboard hat.","category":"行业动态","source":"The Decoder：AI News（RSS）","aggregationSource":"The Decoder：AI News（RSS）","pageTitle":"Hugging Face brachte ML Intern auf den Markt, wodurch maschinelle Lernexperimente im Chat durchgeführt werden können - Aioga KI-News","description":"Hugging Face hat den KI-Assistenten ML Intern eingeführt, der in Chatbots integriert ist und es Nutzern ohne ML-Erfahrung ermöglicht, maschinelle Lernexperimente per Gespräch durch...","url":"https://www.aioga.com/de/news/cmttzipvw0sqkrofpfb16h59v/","contentTranslated":true,"sourceHash":"40b8632ae087570f","translatedAt":"2026-09-09T11:23:50.576Z"},"pt-BR":{"title":"A Hugging Face lançou o ML Intern, permitindo que experimentos de aprendizado de máquina sejam executados pelo chat","summary":"A Hugging Face lançou o assistente de IA ML Intern embutido em chatbots, permitindo que usuários sem conhecimento em ML executem experimentos de aprendizado de máquina por meio de conversas. Ele busca no Hugging Face Hub, GitHub e na web por modelos, conjuntos de dados e ferramentas, primeiro estima custos de poder computacional e fornece um orçamento, e após aprovação, não ultrapassa o limite; Pode criar conjuntos de dados de forma independente, treinar modelos, monitorar tarefas, enviar resultados, escrever relatórios e construir demos, com cada tarefa de treinamento tendo um painel independente.","category":"行业动态","source":"The Decoder：AI News（RSS）","aggregationSource":"The Decoder：AI News（RSS）","pageTitle":"A Hugging Face lançou o ML Intern, permitindo que experimentos de aprendizado de máquina sejam executados pelo chat - Aioga Notícias de IA","description":"A Hugging Face lançou o assistente de IA ML Intern embutido em chatbots, permitindo que usuários sem conhecimento em ML executem experimentos de aprendizado de máquina por meio de...","url":"https://www.aioga.com/pt-BR/news/cmttzipvw0sqkrofpfb16h59v/","contentTranslated":true,"sourceHash":"40b8632ae087570f","translatedAt":"2026-09-09T11:23:59.788Z"},"ru":{"title":"Hugging Face запустил программу ML Intern, позволяя запускать эксперименты с машинным обучением через чат","summary":"Hugging Face запустила AI-ассистента ML Intern, встроенного в чат-боты, позволяя пользователям без опыта в машинном обучении проводить эксперименты с машинным обучением через разговор. Он ищет модели, наборы данных и инструменты на Hugging Face Hub, GitHub и вебе, сначала оценивает затраты на вычислительные мощности и предоставляет бюджет, а после утверждения не превышает лимит; Он может самостоятельно создавать наборы данных, обучать модели, контролировать задачи, загружать результаты, писать отчёты и создавать демонстрации, при этом каждая обучающая задача имеет отдельную дашборд.","category":"行业动态","source":"The Decoder：AI News（RSS）","aggregationSource":"The Decoder：AI News（RSS）","pageTitle":"Hugging Face запустил программу ML Intern, позволяя запускать эксперименты с машинным обучением через чат - Aioga Новости ИИ","description":"Hugging Face запустила AI-ассистента ML Intern, встроенного в чат-боты, позволяя пользователям без опыта в машинном обучении проводить эксперименты с машинным обучением через разго...","url":"https://www.aioga.com/ru/news/cmttzipvw0sqkrofpfb16h59v/","contentTranslated":true,"sourceHash":"40b8632ae087570f","translatedAt":"2026-09-09T11:24:00.117Z"},"ar":{"title":"أطلقت Hugging Face برنامج ML Intern، مما أتاح تجارب التعلم الآلي من خلال الدردشة","summary":"أطلقت Hugging Face برنامج مساعد تعلم الآلة: متدرب في مجال التعلم الآلي مدمجة في روبوتات الدردشة، مما يسمح للمستخدمين الذين لا يملكون خبرة في تعلم الآلة بإجراء تجارب تعلم آلي من خلال المحادثة. يبحث في Hugging Face Hub وGitHub والويب عن النماذج ومجموعات البيانات والأدوات، ويقدر أولا تكاليف قوة الحوسبة ويوفر ميزانية، وبعد الموافقة، لا يتجاوز الحد المحدد؛ يمكنه إنشاء مجموعات بيانات بشكل مستقل، وتدريب النماذج، ومراقبة المهام، ورفع النتائج، وكتابة التقارير، وبناء العروض التوضيحية، مع وجود لوحة تحكم مستقلة لكل مهمة تدريبية.","category":"行业动态","source":"The Decoder：AI News（RSS）","aggregationSource":"The Decoder：AI News（RSS）","pageTitle":"أطلقت Hugging Face برنامج ML Intern، مما أتاح تجارب التعلم الآلي من خلال الدردشة - Aioga أخبار الذكاء الاصطناعي","description":"أطلقت Hugging Face برنامج مساعد تعلم الآلة: متدرب في مجال التعلم الآلي مدمجة في روبوتات الدردشة، مما يسمح للمستخدمين الذين لا يملكون خبرة في تعلم الآلة بإجراء تجارب تعلم آلي من خلا...","url":"https://www.aioga.com/ar/news/cmttzipvw0sqkrofpfb16h59v/","contentTranslated":true,"sourceHash":"40b8632ae087570f","translatedAt":"2026-09-09T11:24:09.359Z"},"hi":{"title":"हगिंग फेस ने एमएल इंटर्न लॉन्च किया, जिससे मशीन लर्निंग प्रयोगों को चैट के माध्यम से चलाने में सक्षम बनाया गया","summary":"हगिंग फेस ने चैटबॉट में निर्मित एआई सहायक एमएल इंटर्न लॉन्च किया, जिससे एमएल विशेषज्ञता के बिना उपयोगकर्ता बातचीत के माध्यम से मशीन लर्निंग प्रयोग चला सकते हैं। यह मॉडल, डेटासेट और टूल के लिए हगिंग फेस हब, गिटहब और वेब पर खोज करता है, पहले कंप्यूटिंग बिजली लागत का अनुमान लगाता है और बजट प्रदान करता है, और अनुमोदन के बाद, सीमा से अधिक नहीं होता है; यह स्वतंत्र रूप से डेटासेट बना सकता है, मॉडल को प्रशिक्षित कर सकता है, कार्यों की निगरानी कर सकता है, परिणाम अपलोड कर सकता है, रिपोर्ट लिख सकता है और डेमो बना सकता है, प्रत्येक प्रशिक्षण कार्य में एक स्वतंत्र डैशबोर्ड होता है।","category":"行业动态","source":"The Decoder：AI News（RSS）","aggregationSource":"The Decoder：AI News（RSS）","pageTitle":"हगिंग फेस ने एमएल इंटर्न लॉन्च किया, जिससे मशीन लर्निंग प्रयोगों को चैट के माध्यम से चलाने में सक्षम बनाया गया - Aioga AI समाचार","description":"हगिंग फेस ने चैटबॉट में निर्मित एआई सहायक एमएल इंटर्न लॉन्च किया, जिससे एमएल विशेषज्ञता के बिना उपयोगकर्ता बातचीत के माध्यम से मशीन लर्निंग प्रयोग चला सकते हैं। यह मॉडल, डेटासेट और...","url":"https://www.aioga.com/hi/news/cmttzipvw0sqkrofpfb16h59v/","contentTranslated":true,"sourceHash":"40b8632ae087570f","translatedAt":"2026-09-09T11:24:09.177Z"},"it":{"title":"Hugging Face ha lanciato ML Intern, permettendo agli esperimenti di machine learning di scorrere attraverso la chat","summary":"Hugging Face ha lanciato l'assistente AI ML Intern integrato nei chatbot, che permette agli utenti senza competenze di ML di eseguire esperimenti di machine learning tramite conversazione. Cerca modelli, dataset e strumenti su Hugging Face Hub, GitHub e il web, stima innanzitutto i costi di potenza di calcolo e fornisce un budget, e dopo l'approvazione non supera il limite; Può creare in modo indipendente dataset, addestrare modelli, monitorare compiti, caricare risultati, scrivere report e costruire demo, con ogni task di addestramento che ha una dashboard indipendente.","category":"行业动态","source":"The Decoder：AI News（RSS）","aggregationSource":"The Decoder：AI News（RSS）","pageTitle":"Hugging Face ha lanciato ML Intern, permettendo agli esperimenti di machine learning di scorrere attraverso la chat - Aioga Notizie IA","description":"Hugging Face ha lanciato l'assistente AI ML Intern integrato nei chatbot, che permette agli utenti senza competenze di ML di eseguire esperimenti di machine learning tramite conver...","url":"https://www.aioga.com/it/news/cmttzipvw0sqkrofpfb16h59v/","contentTranslated":true,"sourceHash":"40b8632ae087570f","translatedAt":"2026-09-09T11:24:18.538Z"},"nl":{"title":"Hugging Face lanceerde ML Intern, waarmee machine learning-experimenten via chat kunnen worden uitgevoerd","summary":"Hugging Face lanceerde de AI-assistent ML Intern die in chatbots is ingebouwd, waardoor gebruikers zonder ML-expertise machine learning-experimenten via gesprekken kunnen uitvoeren. Het doorzoekt Hugging Face Hub, GitHub en het web naar modellen, datasets en tools, schat eerst de rekenkosten en geeft een budget, en na goedkeuring overschrijdt het de limiet niet; Het kan zelfstandig datasets maken, modellen trainen, taken monitoren, resultaten uploaden, rapporten schrijven en demo's bouwen, waarbij elke trainingstaak een onafhankelijk dashboard heeft.","category":"行业动态","source":"The Decoder：AI News（RSS）","aggregationSource":"The Decoder：AI News（RSS）","pageTitle":"Hugging Face lanceerde ML Intern, waarmee machine learning-experimenten via chat kunnen worden uitgevoerd - Aioga AI-nieuws","description":"Hugging Face lanceerde de AI-assistent ML Intern die in chatbots is ingebouwd, waardoor gebruikers zonder ML-expertise machine learning-experimenten via gesprekken kunnen uitvoeren...","url":"https://www.aioga.com/nl/news/cmttzipvw0sqkrofpfb16h59v/","contentTranslated":true,"sourceHash":"40b8632ae087570f","translatedAt":"2026-09-09T11:24:18.412Z"},"tr":{"title":"Hugging Face, makine öğrenimi deneylerinin sohbet üzerinden yürütülmesini sağlayan ML Intern'i başlattı","summary":"Hugging Face, chatbotlara entegre edilmiş yapay zeka asistanı ML Intern'i başlattı; bu da makine öğrenimi uzmanlığı olmayan kullanıcıların makine öğrenimi deneylerini konuşma yoluyla yürütmesine olanak tanıdı. Hugging Face Hub, GitHub ve web'de modeller, veri setleri ve araçlar arar, önce hesaplama gücü maliyetlerini tahmin eder ve bir bütçe sunar; onaydan sonra sınırı aşmaz; Bağımsız olarak veri setleri oluşturabilir, modelleri eğitebilir, görevleri izleyebilir, sonuç yükleyebilir, raporlar yazabilir ve demolar oluşturabilir; her eğitim görevinin bağımsız bir gösterge paneli vardır.","category":"行业动态","source":"The Decoder：AI News（RSS）","aggregationSource":"The Decoder：AI News（RSS）","pageTitle":"Hugging Face, makine öğrenimi deneylerinin sohbet üzerinden yürütülmesini sağlayan ML Intern'i başlattı - Aioga AI Haberleri","description":"Hugging Face, chatbotlara entegre edilmiş yapay zeka asistanı ML Intern'i başlattı; bu da makine öğrenimi uzmanlığı olmayan kullanıcıların makine öğrenimi deneylerini konuşma yoluy...","url":"https://www.aioga.com/tr/news/cmttzipvw0sqkrofpfb16h59v/","contentTranslated":true,"sourceHash":"40b8632ae087570f","translatedAt":"2026-09-09T11:24:27.864Z"},"vi":{"title":"Hugging Face đã ra mắt ML Intern, cho phép các thí nghiệm học máy chạy qua chat","summary":"Hugging Face đã ra mắt trợ lý AI ML Intern tích hợp trong chatbot, cho phép người dùng không có chuyên môn ML chạy các thí nghiệm học máy thông qua hội thoại. Nó tìm kiếm trên Hugging Face Hub, GitHub và web các mô hình, bộ dữ liệu và công cụ, đầu tiên ước tính chi phí tính toán và cung cấp ngân sách, sau khi được phê duyệt, không vượt quá giới hạn; Nó có thể tự tạo bộ dữ liệu, huấn luyện mô hình, giám sát nhiệm vụ, tải lên kết quả, viết báo cáo và xây dựng demo, với mỗi nhiệm vụ huấn luyện có một bảng điều khiển độc lập.","category":"行业动态","source":"The Decoder：AI News（RSS）","aggregationSource":"The Decoder：AI News（RSS）","pageTitle":"Hugging Face đã ra mắt ML Intern, cho phép các thí nghiệm học máy chạy qua chat - Tin tức AI Aioga","description":"Hugging Face đã ra mắt trợ lý AI ML Intern tích hợp trong chatbot, cho phép người dùng không có chuyên môn ML chạy các thí nghiệm học máy thông qua hội thoại. Nó tìm kiếm trên Hugg...","url":"https://www.aioga.com/vi/news/cmttzipvw0sqkrofpfb16h59v/","contentTranslated":true,"sourceHash":"40b8632ae087570f","translatedAt":"2026-09-09T11:24:27.681Z"},"id":{"title":"Hugging Face meluncurkan ML Intern, memungkinkan eksperimen machine learning dijalankan melalui chat","summary":"Hugging Face meluncurkan asisten AI ML Intern yang terintegrasi dalam chatbot, memungkinkan pengguna tanpa keahlian ML menjalankan eksperimen pembelajaran mesin melalui percakapan. Ia mencari model, dataset, dan alat di Hugging Face Hub, GitHub, dan web, pertama-tama memperkirakan biaya daya komputasi dan menyediakan anggaran, dan setelah disetujui, tidak melebihi batas; Ia dapat secara mandiri membuat dataset, melatih model, memantau tugas, mengunggah hasil, menulis laporan, dan membangun demo, dengan setiap tugas pelatihan memiliki dasbor independen.","category":"行业动态","source":"The Decoder：AI News（RSS）","aggregationSource":"The Decoder：AI News（RSS）","pageTitle":"Hugging Face meluncurkan ML Intern, memungkinkan eksperimen machine learning dijalankan melalui chat - Berita AI Aioga","description":"Hugging Face meluncurkan asisten AI ML Intern yang terintegrasi dalam chatbot, memungkinkan pengguna tanpa keahlian ML menjalankan eksperimen pembelajaran mesin melalui percakapan....","url":"https://www.aioga.com/id/news/cmttzipvw0sqkrofpfb16h59v/","contentTranslated":true,"sourceHash":"40b8632ae087570f","translatedAt":"2026-09-09T11:24:37.045Z"},"th":{"title":"Hugging Face เปิดตัว ML Intern ช่วยให้การทดลองแมชชีนเลิร์นนิงสามารถดําเนินการผ่านแชทได้","summary":"Hugging Face เปิดตัวผู้ช่วย AI ML Intern ที่ฝังอยู่ในแชทบอท ช่วยให้ผู้ใช้ที่ไม่มีความเชี่ยวชาญด้าน ML สามารถทดลองแมชชีนเลิร์นนิงผ่านบทสนทนาได้มันค้นหาโมเดล ชุดข้อมูล และเครื่องมือใน Hugging Face Hub, GitHub และเว็บ ประมาณต้นทุนพลังงานคอมพิวเตอร์และให้งบประมาณก่อน และหลังจากได้รับการอนุมัติ จะไม่เกินขีดจํากัดมันสามารถสร้างชุดข้อมูล ฝึกโมเดล ตรวจสอบงาน อัปโหลดผลลัพธ์ เขียนรายงาน และสร้างเดโมได้อย่างอิสระ โดยแต่ละงานฝึกอบรมจะมีแดชบอร์ดอิสระ","category":"行业动态","source":"The Decoder：AI News（RSS）","aggregationSource":"The Decoder：AI News（RSS）","pageTitle":"Hugging Face เปิดตัว ML Intern ช่วยให้การทดลองแมชชีนเลิร์นนิงสามารถดําเนินการผ่านแชทได้ - ข่าว AI Aioga","description":"Hugging Face เปิดตัวผู้ช่วย AI ML Intern ที่ฝังอยู่ในแชทบอท ช่วยให้ผู้ใช้ที่ไม่มีความเชี่ยวชาญด้าน ML สามารถทดลองแมชชีนเลิร์นนิงผ่านบทสนทนาได้มันค้นหาโมเดล ชุดข้อมูล และเครื่องมือใ...","url":"https://www.aioga.com/th/news/cmttzipvw0sqkrofpfb16h59v/","contentTranslated":true,"sourceHash":"40b8632ae087570f","translatedAt":"2026-09-09T11:24:37.195Z"},"pl":{"title":"Hugging Face uruchomiło ML Intern, umożliwiając eksperymenty z uczeniem maszynowym przeprowadzane przez czat","summary":"Hugging Face uruchomiło stażystę AI asystenta ML wbudowanego w chatboty, umożliwiając użytkownikom bez wiedzy ML prowadzenie eksperymentów uczenia maszynowego poprzez rozmowę. Przeszukuje Hugging Face Hub, GitHub oraz internet pod kątem modeli, zbiorów danych i narzędzi, najpierw szacuje koszty mocy obliczeniowej i dostarcza budżet, a po zatwierdzeniu nie przekracza limitu; Może niezależnie tworzyć zbiory danych, trenować modele, monitorować zadania, przesyłać wyniki, pisać raporty i tworzyć demonstracje, przy czym każde zadanie treningowe ma niezależny pulpit.","category":"行业动态","source":"The Decoder：AI News（RSS）","aggregationSource":"The Decoder：AI News（RSS）","pageTitle":"Hugging Face uruchomiło ML Intern, umożliwiając eksperymenty z uczeniem maszynowym przeprowadzane przez czat - Aioga Wiadomości AI","description":"Hugging Face uruchomiło stażystę AI asystenta ML wbudowanego w chatboty, umożliwiając użytkownikom bez wiedzy ML prowadzenie eksperymentów uczenia maszynowego poprzez rozmowę. Prze...","url":"https://www.aioga.com/pl/news/cmttzipvw0sqkrofpfb16h59v/","contentTranslated":true,"sourceHash":"40b8632ae087570f","translatedAt":"2026-09-09T11:24:46.532Z"}},"evidenceTier":"verified-news","reviewStatus":"automated-ingest","indexable":true,"editorialCover":"/page-visuals/topic-timeline.png"}}