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  1. Diagram showing GODEL’s architecture. The environment of the dialog system consists of both structured and unstructured content, which it uses to retrieve information. This source content, which we term “grounding,” is updated and repeatedly used by GODEL to produce a new response after each user input.

    GODEL: Combining goal-oriented dialog with real-world conversations

    They make restaurant recommendations, help us pay bills, and remind us of appointments. Many people have come to rely on virtual assistants and chatbots to perform a wide range of routine tasks. But what if a single dialog agent, the technology behind these language-based apps,…
    June 23, 2022
  2. This diagram shows a payload exchange between a server, inside Worker 0, and clients that live inside Workers 2 and 3. First, the server pushes the central ML model plus the clients’ data to Workers 2 and 3. Then, each client trains the model with their local data. Finally, the clients send the pseudo-gradients of this new model back to the server for aggregation and the creation of a new global model.

    FLUTE: A scalable federated learning simulation platform

    Federated learning has become a major area of machine learning (ML) research in recent years due to its versatility in training complex models over massive amounts of data without the need to share that data with a centralized entity. However, despite this flexibility and the…
    May 16, 2022