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When building Retrieval-Augmented Generation (RAG) systems for clinical environments, the technical challenge isn't the vector search or the prompt engineering. The real difficulty lies in the audit trail. In my eight years of professional software engineering, the most rigorous systems I have architected are those where every token generated must be traceable back to a specific, authorized medic…

Ralph Orchestrator is a robust, Rust-based framework designed for autonomous AI agent orchestration. It implements the innovative "Ralph Wiggum technique," a methodology focused on continuous iteration to ensure AI agents complete complex tasks effectively. This powerful tool supports multiple AI backends and offers features like a "hat system" for specialized personas and human-in-the-loop inter…

The U.S. government sides with OpenAI in the NYT copyright lawsuit, arguing AI training is fair use. New lawsuits from Seattle Times and Newsday add pressure. Will this reshape AI law? The post US Government Backs OpenAI in Landmark AI Copyright Battle appeared first on SourceTrail .

Two more news organizations are suing OpenAI and Microsoft over the supposed use of their journalism to train AI.

The first time I wired an LLM into a real product feature at Shpper, I did the naive thing: prompt the model to "return JSON", jsonDecode the response, move on. It worked in the demo. Then it hit real traffic and I started getting FormatException at 2am because the model wrapped its JSON in a ```json fence, or added a cheerful "Here's the data you asked for!" preamble, or trailed a comma before t…

Ask how to run a transformer model from C++ and you get two answers: link libtorch, or convert the model and link ONNX Runtime. Both work. Both are large, both want a toolchain of their own, and both put a second inference engine inside your process. There is a third answer, and it takes four commands. mkdir kjarni-quickstart && cd kjarni-quickstart curl -sL https://github.com/olafurjohannsson/kj…

This article introduces OKF Agent Memory, which stores AI agent memories that would otherwise disappear when a conversation ends in a Git repository for long-term preservation.