Learn SRE best practices for Java applications to ensure high availability, performance, and scalability, covering monitoring, logging, security, and more.
vLLM is an open-source tool that helps with hosting AI models using an efficient inference engine. It can be used to power LLMs in real products and services.
Build a chat history implementation with Azure Cosmos DB for NoSQL Go SDK and LangChainGo, enhancing LLM context and enabling efficient testing with Testcontainers.
LLMs simplify time series forecasting by handling messy data and context. Combined with stats, they cut errors by 31%, delivering better, easier forecasts.
Migrating Java microservices to Go boosts performance, scalability, and efficiency with faster execution and lightweight concurrency while ensuring seamless integration
Open-source software is gaining ground in Japanese corporate strategy, driven by AI, cloud-native adoption, and expanded use in the manufacturing industry.
LLMs transform ETL with schema-less extraction, adaptive transformations, and multi-modal support, enabling scalable, efficient, and accessible data workflows.
This article provides a framework for architects and development teams on how to make wise decisions on building AI powered solutions for business problems.
Floyd’s Cycle Algorithm detects cyclic patterns in graphs to help identify fraudulent transaction loops in financial systems and prevent money laundering.