超越NPC:游戏运营中的人工智能 Beyond NPCs: AI for Game Operations 29:36 超越《巨像之影》重制版:技术视角 Beyond the Remake of 'Shadow of the Colossus' 01:03:52 BioWare嵌入式QA:您的支持课程 BioWare Embedded QA: Your Support Class 29:56 西风吹拂:在《对马岛之魂》中模拟风的效果 Blowing...
AI has become integral to daily life. Teaching, learning, and research are no exception. However, most studies on education have approached AI as a technology and focused mostly on learning outcomes rather than understanding student engagement and sense-making of AI as a socio-cultural tool with...
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Open AI Tanzania Building Footprint Segmentation Challenge: in the form of GeoTIFF files along with GeoJSON files that contain the ground truth annotations. xView 2 Building Damage Asessment Challenge (DIUx, Nov 2019) 550k building footprints & 4 damage scale categories, 20 global locations and ...
Class imbalanceSample typesResamplingLocal neighborhoodData plays a key role in the design of expert and intelligent systems and therefore, data preprocessing appears to be a critical step to produce high-quality data and build accurate machine learning models. Over the past decades, increasing ...
Fig. 2. The ML lessons covered in the program. In session 1, we began with the definition of AI and discussed the four main things AI can do (perceive, learn, decide & interact) with illustrations. We further prompted the participants to mention what they use or see on a daily that ...
public class ConversationLanguageUnderstandingActionContent : System.ClientModel.Primitives.IJsonModel<Azure.AI.Language.Conversations.Models.ConversationLanguageUnderstandingActionContent>, System.ClientModel.Primitives.IPersistableModel<Azure.AI.Language.Conversations.Models.ConversationLanguageUnderstandin...
Language Understanding (LUIS) offers a fast and effective way of adding language understanding to applications. With LUIS, you can use pre-existing, world-class, pre-built models whenever they suit your purposes. When you need specialised models, LUIS guides you through the process of quickly bui...
identifying patterns that allow AI to make decisions, recognize images, or understand language. The deeper the network (more layers), the more sophisticated the AI’s ability to solve complex tasks. This architecture powers a broad range of AI technologies, from self-driving cars to voice assista...
This article codes the self-attention mechanisms used in transformer architectures and large language models (LLMs) such as GPT-4 and Llama from scratch in PyTorch.