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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 ...

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Is a secure AI assistant possible?

AI agents are a risky business. Even when stuck inside the chatbox window, LLMs will make mistakes and behave badly. Once they have tools that they can use to interact with the outside world, such as web browsers and email addresses, the consequences of those mistakes become far more serious. That ...

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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 ...

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NVIDIA Researchers Introduce KVTC Transform Coding Pipeline to Compress Key-Value Caches by 20x for Efficient LLM Serving

Serving Large Language Models (LLMs) at scale is a massive engineering challenge because of Key-Value (KV) cache management. As models grow in size and reasoning capability, the KV cache footprint increases and becomes a major bottleneck for throughput and latency. For modern Transformers, this ...

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How to Create Your AI Caricature Using ChatGPT Image?

Another month, another AI-powered trend taking over the internet, and this one is all about turning yourself into a caricature using ChatGPT Image. From LinkedIn feeds to group chats, people are sharing playful versions of themselves that capture not just their faces, but also their profession, ...

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