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Scheduling in a changing world: Maximizing throughput with time-varying capacity
How to Build an Atomic-Agents RAG Pipeline with Typed Schemas, Dynamic Context Injection, and Agent Chaining
In this tutorial, we build an advanced, end-to-end learning pipeline around Atomic-Agents by wiring together typed agent interfaces, structured prompting, and a compact retrieval layer that grounds outputs in real project documentation. Also, we demonstrate how to plan retrieval, retrieve relevant context, inject it dynamically into an answering agent, and run an interactive loop that […]
The post How to Build an Atomic-Agents RAG Pipeline with Typed Schemas, Dynamic Context Injection, and Agent Chaining appeared first on MarkTechPost.
Instagram Reels vs TikTok Videos: Same Idea, Different Algorithms
Is a secure AI assistant possible?
The Download: inside the QuitGPT movement, and EVs in Africa
Claude Agents Just Built a Fully Functioning C Compiler With Zero Human Input
Sixteen autonomous AI agents. Two weeks of continuous execution. Nearly 100,000 lines of Rust code. That’s what it took for Anthropic to build a working C compiler capable of compiling large real-world projects like the Linux kernel. There is, however, a kicker here. The project, internally referred to as the Claude “agent teams,” wasn’t written […]
The post Claude Agents Just Built a Fully Functioning C Compiler With Zero Human Input appeared first on Analytics Vidhya.
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