It sounds trivial, almost too silly to be a line item on a CFO’s dashboard. But in a usage-metered world, sloppy typing is a ...

Two major milestones: finalizing my database choice and successfully running a local model for data extraction.

Overview Leading voice AI frameworks power realistic, fast, and scalable conversational agents across enterprise, consumer, ...

Abstract: With the development of 6G endogenous intelligence, retrieval-augmented generation (RAG) based on large language models (LLMs) becomes one of its key technologies due to its ability to ...

Recent advances in large language models (LLMs) have enabled human-like social simulations at unprecedented scale and fidelity, offering new opportunities for computational social science. A key ...

Discover how an AI text model generator with a unified API simplifies development. Learn to use ZenMux for smart API routing, ...

Ripple is exploring Amazon Bedrock AI for XRPL operations to improve efficiency by using AI agents to analyze XRP Ledger ...

Abstract: Large Language Models (LLMs), with advanced content creation and inference capabilities, can provide immersive intelligent services to users in mobile edge networks. However, the increasing ...

In this article author Sachin Joglekar discusses the transformation of CLI terminals becoming agentic where developers can state goals while the AI agents plan, call tools, iterate, ask for approval ...

Self-host Dify in Docker with at least 2 vCPUs and 4GB RAM, cut setup friction, and keep workflows controllable without deep ...

The world tried to kill Andy off but he had to stay alive to to talk about what happened with databases in 2025.

Google Cloud’s lead engineer for databases discusses the challenges of integrating databases and LLMs, the tools needed to ...