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LLMs are fantastically good at communicating despite not actually knowing what they are saying, and training them usually relies on PyTorch deep learning library, itself written in Python.
DSPy shifts the paradigm for interacting with models from prompt hacking to high-level programming, making LLM applications ...
The research team tested CaMeL against the AgentDojo benchmark, a suite of tasks and adversarial attacks that simulate ...
20h
Tech Xplore on MSNMaking AI-generated code more accurate in any languageProgrammers can now use large language models (LLMs) to generate computer code more quickly. However, this only makes ...
There’s no reason Python developers should have all the fun. Here are 10 popular Java-based tools for integrating artificial ...
The Register on MSN7d
LLMs can't stop making up software dependencies and sabotaging everythingHallucinated package names fuel 'slopsquatting' The rise of LLM-powered code generation tools is reshaping how developers ...
In this article, I'll share my experience navigating the landscape of various agent frameworks through a practical comparison of several popular LLM agent tools.
Attackers can weaponize and distribute a large number of packages recommended by AI models that don’t really exist.
Researchers completed one of the most comprehensive studies to date on the risks of using AI models to develop software. In a paper, they demonstrate how a specific type of error could pose a serious ...
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