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「RoboWorker®AI-Agent」は、独自の大規模言語モデル(Large Language Models LLM)を使用することで、自然言語でシナリオの作成を非常に簡単に行うことができます。従来の手動での作成にかかる時間や手間を大幅に削減し、効率的な業務運営を実現します。 ↑ うーん、で、自然言語でシナリオ作成って どーいうことなん? よーわからんw
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海外メディアが次々と報道 Toyota apologizes for cheating on vehicle testing and halts production of three models【San Francisco Chronicle】 トヨタ、車両試験不正を謝罪、3車種の生産停止 https://www.sfgate.com/news/world/article/toyota-apologizes-for-cheating-on-vehicle-testing-19492065.php お気をつけてwWWWWWWWW
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#NVIDIA #CUDA #FUSION #Kudan Isaac ROS 上に構築された NVIDIA Isaac™ Perceptor は、NVIDIA アクセラレーション ライブラリと AI モデルのリファレンス ワークフローであり、倉庫や工場などの非構造化環境で認識、位置特定、操作を行う堅牢な自律移動ロボット (AMR) を迅速に構築するのに役立ちます。Isaac Perceptor テクノロジーを独自の AMR スタックとサービスに統合して、高度な認識機能を実現します。 Built on Isaac ROS, NVIDIA Isaac™ Perceptor is a reference workflow of NVIDIA-accelerated libraries and AI models to help you rapidly build robust autonomous mobile robots (AMRs) that perceive, localize, and operate in unstructured environments like warehouses and factories. Integrate Isaac Perceptor technology into your own AMR stack and services to achieve advanced perception capabilities.
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NVIDIA Isaac Perceptor https:// developer.nvidia.com/isaac/perceptor NVIDIA Isaac™ Perceptor, built on Isaac ROS, is a reference workflow of NVIDIA-accelerated libraries and AI models that helps you quickly build robust autonomous mobile robots (AMRs) to perceive, localize, and operate in unstructured environments like warehouses or factories. Integrate Isaac Perceptor technologies into your own AMR stacks and services to achieve advanced perception capabilities. Isaac ROS上に構築された NVIDIA Isaac™ Perceptor は、NVIDIA アクセラレーション ライブラリと AI モデルのリファレンス ワークフローであり、倉庫や工場などの非構造化環境で認識、位置特定、操作を行う堅牢な自律移動ロボット (AMR) を迅速に構築するのに役立ちます。Isaac Perceptor テクノロジを独自の AMR スタックとサービスに統合して、高度な認識機能を実現します。
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勝手にそう思っておけ(笑) NVIDIA公式ホームページに書いてあるのに。。。 NVIDIA Isaac™ Perceptorを必要としている企業が!!! NVIDIA Isaac Perceptor 24 時間前 — NVIDIA Isaac™ Perceptor, built on Isaac ROS, is a reference workflow of NVIDIA-accelerated libraries and AI models that helps you quickly build robust .. ↓↓↓ https:// www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://developer.nvidia.com/isaac/perceptor&ved=2ahUKEwjpjIKRur-GAxWks1YBHRE5BAcQFnoECA0QAQ&usg=AOvVaw3O-htkGTLLUr7EqEUdQRyK
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NVIDIA Isaac Perceptor NVIDIA Isaac™ Perceptor, built on Isaac ROS, is a reference workflow of NVIDIA-accelerated libraries and AI models that helps you quickly build robust autonomous mobile robots (AMRs) to perceive, localize, and operate in unstructured environments like warehouses or factories. これにKudanの技術が統合されたとの事です。 ※Kudan発表 Kudanが嘘をついてるんですね。
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先に出てましたよ。 17時28分からの《19時間前》 NVIDIA Isaac Perceptor NVIDIA Isaac™ Perceptor, built on Isaac ROS, is a reference workflow of NVIDIA-accelerated libraries and AI models that helps you quickly build robust autonomous mobile robots (AMRs) to perceive, localize, and operate in unstructured environments like warehouses or factories. Integrate Isaac Perceptor technologies into your own AMR stacks and services to achieve advanced perception capabilities. URL https:// + developer.nvidia.com/isaac/perceptor
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NTTの生成AI大規模言語モデル(LLM)「tsuzumi」が社会にもたらすインパクト~ 今回はChatGPTに代表される言語系の生成AIにChatGPTは生成AIサービスとしてWebアプリケーションとして提供されていますが このレイヤーの下でサービスを支えているのがLLM(Large Language Models)と呼ばれる大規模言語モデルです。 ChatGPT ではGPT-3.5、GPT-4などがLLMに該当し、数字が大きいほどアウトプットの精度が高く、すでに生成AIは、さまざまな領域で活用されています。
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Retrieval-Augmented Generation Large Language Models サーバー AICE株式会社と連携 フォーサイドはますます生成AIの事業が拡大しつつある。 まぁ・・・俺にバッドつける奴はわからないだろうねこの意味が
スノーフレイク、エヌビディアと…
2024/06/04 19:38
スノーフレイク、エヌビディアと提携✌️ Snowflake and NVIDIA partner Tue, Jun 4, 2024 at 6:56 PM🤫 Snowflake has announced a new collaboration with NVIDIA that customers and partners can harness to build customised AI data applications in Snowflake, powered by NVIDIA AI. With this latest collaboration, Snowflake has adopted NVIDIA AI Enterprise software to integrate NeMo Retriever microservices into Snowflake Cortex AI, Snowflake’s fully managed large language model (LLM) and vector search service. This will enable organisations to connect custom models to diverse business data and deliver highly accurate responses. Snowflake Arctic is now fully supported with NVIDIA TensorRT-LLM software This will provide users with highly optimised performance. Arctic is also now available as an NVIDIA NIM inference microservice, allowing more developers to access Arctic’s efficient intelligence. As enterprises look for ways to further unlock the power of AI across their teams, there’s an increasing need to apply data to drive customisation. Through Snowflake’s collaboration with NVIDIA, organisations can rapidly create bespoke, use-case specific AI solutions, enabling businesses across industries to realise the potential of enterprise AI. Sridhar Ramaswamy, CEO, Snowflake, said: “Pairing NVIDIA’s full stack accelerated computing and software with Snowflake’s state-of-the-art AI capabilities in Cortex AI is game-changing. Together, we are unlocking a new era of AI where customers from every industry and every skill level can build custom AI applications on their enterprise data with ease, efficiency, and trust.” Jensen Huang, founder and CEO, NVIDIA, added: “Data is the essential raw material of the AI industrial revolution. Together, NVIDIA and Snowflake will help enterprises refine their proprietary NVIDIA AI Enterprise software capabilities to be offered in Cortex AI include: NVIDIA NeMo Retriever which provides information retrieval with high accuracy and powerful performance for ent