We will explore the importance of eXplanation in fraud detection models and learn how it can help to understand different patterns of fraud in our system.
Learn a platform-agnostic approach to cloud security, focusing on encryption, zero-trust models, and tools to enhance security across multi-cloud environments.
Using a message broker as a router to handle requests between your apps and LLMs simplifies integration, improves reliability, and scales easily for AI-driven apps.
Azure Cosmos DB Emulator simplifies local development by enabling testing without Azure costs. This example uses it as a service container for CI workflows.
Video deduplication optimizes storage by removing duplicates using techniques like segmentation, embeddings, and clustering to manage massive datasets efficiently.
Let's deep dive into the role of Terraform state files, their challenges like sensitive data and corruption, and effective solutions for secure infrastructure management.
SOLID principles guide Android developers in crafting scalable, maintainable, and testable apps by ensuring clear architecture, modularity, and clean abstractions.
Learn to efficiently deduplicate 100M+ images using distributed architectures, embeddings, FAISS for ANN search, and clustering to ensure accurate results.
Learn key considerations around data preparation, model fine-tuning, deployment strategies, and ethical AI to prepare you to build scalable GenAI applications.
The development of intelligent applications has seen exponential growth since the convergence of Microservices architecture and cloud-based AI services.