Hugging Face Trending Papers

The Third Restructuring of Software Form: From the Three-Tier Architecture to Storage, Models, and Agents

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The paper discusses a third paradigm shift in software development, termed Software 3.0, where context and reasoning drive behavior. It proposes that Software 3.0 converges to three core components: a generalized database for all persistent state, a large model that performs reasoning and generation, and an agent that orchestrates the interaction between the two. The authors formalize this convergence, present a minimal reference architecture, and analyze its applicability and limits, noting that it applies best to task domains that are expressible, verifiable, externally stateful, and tool-complete.

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arXiv Machine Learning
Sep 11

Learnware and AI Model Management System

The paper proposes a shift from AI model storage to AI model management, introducing the concept of "learnware"—a combination of a model and its specification. Learnware specifications are generated without exposing developers’ training data, enabling models from different sources to be identified, reused, and assembled for new tasks. The Learnware Dock System (LDS) offers a framework for managing these learnwares and facilitates collaboration among independently developed models through a shared specification protocol.

By Zhi-Hua Zhou
Hugging Face Trending Papers
Sep 10

Learnware and AI Model Management System

The paper proposes a shift from simple AI model storage to comprehensive AI model management, introducing the concept of "learnware"—a model paired with a specification that can be generated without exposing training data. By treating learnware as the basic unit, the Learnware Dock System (LDS) enables identification, reuse, and assembly of independently developed models for new user tasks. The specifications, generated via a data‑preserving machine learning process, also act as a collaboration protocol, allowing models and agents to work together across different objectives.