Code that might appear correct but actually misses edge cases or generates inaccurate results can trigger outages, faulty ...

We present emph{Greedy Information Projection} (textsc{GIP}), a principled framework for choosing training examples for large language model fine-tuning. textsc{GIP} casts selection as maximizing ...

Even if you don’t know much about the inner workings of generative AI models, you probably know they need a lot of memory. Hence, it is currently almost impossible to buy a measly stick of RAM without ...

CrewFlow is a production-ready multi-agent AI workflow system built using CrewAI and Python. This project demonstrates how multiple AI agents collaborate to solve complex tasks such as research, ...

Drop-in SDK for Python apps — instrument OpenAI, Anthropic, LangChain, or any LLM in minutes. Instrument any Python LLM app in one import. See traces, incidents, and regressions in the Reliai control ...

Abstract: Artificial Intelligence (AI) driven code generation tools are increasingly used throughout the software development lifecycle to accelerate coding tasks. However, the security of ...

A world that runs on increasingly powerful AI coding tools is one where software creation is cheap — or so the thinking goes — leaving little room for traditional software companies. As one analyst ...

Microsoft has warned that information-stealing attacks are "rapidly expanding" beyond Windows to target Apple macOS environments by leveraging cross-platform languages like Python and abusing trusted ...

According to @godofprompt, recent tests across leading language models such as Claude, GPT4, and Gemini show that using specific persona configurations significantly enhances output quality. The ...

ABSTRACT: Agentic AI—software agents that plan, generate, test, and iterate across the software lifecycle—is bending the software cost curve. We merge two complementary analyses: 1) a ...