This research investigates the application of Large Language Models (LLMs) in developing scalable solutions for information retrieval across extensive knowledge bases. The work addresses fundamental challenges in managing and retrieving information at a planetary scale, combining the power of modern language models with efficient retrieval mechanisms.
Feb 1, 2024
Abstract This paper introduces the Epistral Network, a novel decentralized framework for media curation and consumption. We present an innovative approach that leverages blockchain technology and distributed systems to create a more democratic and transparent content ecosystem.
Feb 1, 2024
This paper introduces Viz, a novel marketplace framework that leverages QLoRA (Quantized Low-Rank Adaptation) to enable copyright-compliant generative AI systems. We present a technical solution for tracking and managing intellectual property rights in AI-generated content while maintaining model efficiency through quantization.
Dec 1, 2023
This paper introduces FairFlow Protocol, a novel approach to mitigate Maximal Extractable Value (MEV) in Ethereum blockchain networks. MEV represents the maximum value that can be extracted from block production in excess of the standard block rewards and gas fees, often at the expense of regular users.
Dec 1, 2023
This paper introduces a formal framework for analyzing atomic composability in multi-rollup environments on Ethereum. As the blockchain ecosystem evolves towards a multi-rollup future, ensuring atomic execution of cross-rollup transactions becomes increasingly critical.
Nov 1, 2023
The Generalised DePIN Protocol paper introduces a comprehensive framework for Decentralized Physical Infrastructure Networks (DePIN). This research presents a theoretical foundation for understanding and implementing DePIN systems, which bridge the gap between physical infrastructure and blockchain technology.
Nov 1, 2023
Abstract This paper presents a novel approach to deepfake detection through a decentralized blockchain network that dynamically manages detection algorithms. The system leverages blockchain technology to create a transparent and secure platform where multiple deepfake detection algorithms can be deployed, evaluated, and updated in real-time, ensuring adaptability to new deepfake techniques.
Nov 1, 2023
This paper examines the paradoxical emergence of centralized intermediaries within the supposedly decentralized Web3 ecosystem. We analyze how these intermediaries accumulate and extract value, despite the underlying blockchain technology being designed to eliminate such middlemen.
Nov 1, 2023
Abstract This paper presents a novel approach to curriculum learning that leverages autoencoder-based continuous optimization for generating effective training sequences. Curriculum learning, which structures the training process from easier to harder examples, has shown promise in improving model performance and convergence.
Jun 1, 2021
We present a novel approach for generating animated videos from single images using audio as the driving signal. Our method allows for the creation of realistic talking head animations by combining a single source image with an audio input.
Feb 1, 2021