What Is an AI Agent
Technical overview of AI agents: how they use machine learning and multimodal data to perform tasks, make decisions, and enable applications in healthcare and autonomy.
Technical overview of AI agents: how they use machine learning and multimodal data to perform tasks, make decisions, and enable applications in healthcare and autonomy.
Guide to prompt design for test case generation with large models, covering element classification, role/background templates, multi?turn refinement, and Data4Test integration.
Technical overview of voice recognition (ASR) in communications: development, mobile and smart home applications, assistive uses, and future trends with 5G.
Overview of 12 deep learning interview questions highlighting core concepts and training considerations, including batch normalization and practical model evaluation.
Overview of convolutional neural networks: how filters, sliding-window local matching, convolution, ReLU activations, and pooling produce feature maps for image classification.
Technical overview of compute scheduling in the compute network, covering orchestration, cross-domain scheduling, cost and latency tradeoffs, and platform architecture.