As our reliance on AI-enabled hyper-automation increases, we will leverage human expertise to design robust workflows capable of managing repetitive tasks.
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.
The Perceptron Algorithm is a foundational linear classifier for binary tasks, influencing modern ML with concepts like iterative weight updates and activation functions.
Video deduplication optimizes storage by removing duplicates using techniques like segmentation, embeddings, and clustering to manage massive datasets efficiently.
With Java’s versatility and Quarkus’s cloud-native optimizations, you can build high-performance, scalable applications that seamlessly integrate AI-driven features.
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.
Check the platforms that provide developers with powerful tools to monitor, debug, and optimize AI agents, ensuring their reliability, efficiency, and scalability.
February 19, 2025
by Vidyasagar (Sarath Chandra) Machupalli FBCS
CORE
The development of intelligent applications has seen exponential growth since the convergence of Microservices architecture and cloud-based AI services.
This article covers how key-value caching works and how it helps optimize large language models. It includes a text generation process to make it easy to understand.
Agentic RAG simplifies text-to-SQL by modularizing tasks into tools like query transformation, hybrid search, and re-ranking, ensuring accuracy and scalability.