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Found 6 papers, 0 papers with code
Navigating the Knowledge Sea: Planet-scale answer retrieval using LLMs
Information retrieval is a rapidly evolving field of information retrieval, which is characterized by a continuous refinement of techniques and technologies, from basic hyperlink-based navigation to sophisticated algorithm-driven search engines.
Viz: A QLoRA-based Copyright Marketplace for Legally Compliant Generative AI
The paper delineates the scholarly discourse and developments that have informed the creation of Viz, focusing primarily on the advancements in LLM models, copyright issues in AI training (NYT case, 2023), and the evolution of model fine-tuning techniques, particularly low-rank adapters and quantized low-rank adapters, to create a sustainable and economically compliant framework for LLM utilization.
Curriculum generation using Autoencoder based continuous optimization
Recent works have focused on using complex reinforcement learning techniques to find the optimal data ordering strategy to maximize learning for a given network.
One Shot Audio to Animated Video Generation
We propose a novel method OneShotAu2AV to generate an animated video of arbitrary length using an audio clip and a single unseen image of a person as an input.
CatFedAvg: Optimising Communication-efficiency and Classification Accuracy in Federated Learning
Federated learning has allowed the training of statistical models over remote devices without the transfer of raw client data.
Fed-Focal Loss for imbalanced data classification in Federated Learning
The Federated Learning setting has a central server coordinating the training of a model on a network of devices.
