This guide shows how to build a multi-tenant platform using Camunda BPM, covering AWS deployment, tenant isolation, upgrades, observability, and scaling best practices.
Think of agile fine-tuning as giving your AI a feedback loop and a sprint plan. It helps models stay accurate, adapt to real-world shifts, and serve users better, faster.
Knowing when to choose a reasoning model over a more traditional LLM is essential for maximizing cost and efficiency, and delivering the required level of accuracy.
A summary of the integration of observability API and GenAI to automate preliminary incident reporting with a sample incident report from on-prem and cloud models.
Zero-day exploits hide in plain sight. Learn how AI detects them, see real-world use cases, and build your own Python threat hunter to catch anomalies fast.
We built a multilingual university chatbot using LLaMA2, SageMaker, LangChain, and Milvus with RAG for real-time answers scalable to domains like healthcare and HR.
Learn how to secure REST APIs in Spring Boot using SSL and self-signed certificates. Set up HTTPS on the server and configure a client to consume secure endpoints.
Learn how to build a real-time, event-driven system using AWS Lambda and DynamoDB Streams to process data changes automatically without polling or extra infra.
This article delves into the concept of the Twelve-Factor Agent, an architectural pattern designed to create robust, scalable, and maintainable applications.
Learn how to efficiently sync and analyze big data by combining Hive’s storage with Doris’s real-time analytics using various sync strategies and optimizations.
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