This desktop app for hosting and running LLMs locally is rough in a few spots, but still useful right out of the box.
The RAM required to run machine learning models on local hardware is roughly 1GB per billion parameters when the model is ...
Abstract: This paper proposes a novel Neural Network Coding Layer (NNCL) that applies network coding theory to provide structured redundancy and enable reconstruction of lost features, thereby ...
Overview: TypeScript is widely used in large projects because its typing works better with AI coding assistants and reduces ...
Overview: Programmers prefer Python in AI, data science, and machine learning projects, while JavaScript is useful in web and full-stack development.GitHub and ...
Abstract: In this paper, we propose a learning-based video compression which can perform continuously variable bitrate coding. The proposed method generates feature transformation parameters through a ...
The new dojo will empower children ages 5–14 to learn computer coding, robotics, and problem-solving STEM skills by building ...
Opinion AI-integrated development environment (IDE) company Cursor recently implied it had built a working web browser almost entirely with its AI agents. I won't say they lied, but CEO Michael Truell ...
From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with projects that support AI development.
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