assignment role type assignment to a varia assignmentfee assignpartnumber assimilation model assimilative capacity assimilatory cell assimilatory coeffici assinform assist departments in assist designers and assist for annual aud assist gm with prepar assist supervisor to assist with compilati assistant acco...
In the present study, we introduced TxGNN, a graph foundation model for multi-disease, zero-shot drug repurposing that predicts drug-repurposing candidates across 17,080 diseases, including diseases without treatments (Fig.1c). Foundation models like TxGNN are transforming deep learning: instead of...
robust self-healing prediction model for high dimensional data [Paper] strength-adaptive adversarial training [Paper] feddig: robust federated learning using data digest to represent absent clients [Paper] distributionally adaptive meta reinforcement learning [Paper] blockchain-based monitoring for ...
Sui - A next-generation smart contract platform with high throughput, low latency, and an asset-oriented programming model powered by the Move programming language. svm-rs - Solidity-Compiler Version Manager. tendermint-rs - Tendermint blockchain data structures and clients wagyu [wagyu] - Library ...
The research aims to establish a foundation for a sustainable and resilient energy system through an examination of the interplay between economic policy uncertainties, environmental taxation, technical innovation, and natural resources for the utilization of clean energy....
This is a key difference to methods that require mandatory online training, such as in [28], where an FIR filter serves as the foundation for the learning approach or the coupling algorithm proposed by the authors of [29], which employs a PD controller function as the basis for training. ...
nix-community/fenix - Rust toolchains and rust analyzer nightly for nix pantsbuild/pants - Pants is a fast, scalable, user-friendly build system for codebases of all sizes built in Rust. tracemachina/nativelink - NativeLink is a Backend Remote Execution platform written in rust for client bui...
(2023) gathers mistaken planning samples first and employs more powerful GPT-4 for correction. Those corrected samples are then used to fine-tune the LLM-Agent, resulting in significant performance improvements across various scales of the LLaMA model. Particularly, the self-reflective strategy bears...
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From a governance perspective, LLMs pose both methodological and normative challenges. As previously mentioned, foundation models—like LLMs—are typically developed and adopted in two stages. Firstly, a model is pre-trained using self-supervised learning on a large, unstructured text corpus scraped ...