Flood Risk Assessment Using Digital Elevation & HAND Models
In early 2024, Brazil experienced heavy rainfall, particularly in the south and northeast regions, leading to floods that damaged cities, ...
Tag: models
MDAgents: A Dynamic Multi-Agent Framework for Improving Medical Decision Making with Large Language Models
Base models show promise in medicine, especially for assisting in complex tasks such as medical decision making (MDM). MDM is ...
Understanding Memoization in Diffusion Models: A Statistical Physics Approach to Data Supported by Multiples
Generative diffusion models have revolutionized image and video generation, becoming the basis for next-generation generation software. While these models excel ...
Computational bottlenecks in training large, small-scale language models
This paper was accepted into the Efficient Natural Speech and Language Processing (ENLSP) workshop at the NeurIPS 2024 Workshop. While ...
WACK: Advancing Hallucination Detection by Identifying Knowledge-Based Errors in Language Models via High-Precision Data Sets and Model-Specific Cueing Techniques
Large language models (LLMs) are widely used in natural language tasks, from question answering to conversational ai. However, a persistent ...
Choose and implement models of hugging faces | by Stephanie Kirmer | November 2024
Taking pre-trained models out of the box for your use casePhoto by There is Estremera in unpackI've been having a ...
Improving task scheduling in linguistic agents: Leveraging graph neural networks to improve task decomposition and decision making in large language models
Task planning in linguistic agents is gaining attention in LLM research, focusing on breaking down complex tasks into manageable subtasks ...
Meta AI launches checkpoints for MobileLLM 125M, 350M, 600M and 1B models
The widespread adoption of large language models (LLM) has ushered in significant advances in fields such as conversational ai, content ...
CodeFavor – A machine learning framework that trains pairwise preference models with synthetic code preferences generated from code evolution, such as commits and code critiques
Large language models (LLMs) have revolutionized software development by enabling code completion, generation of functional code from instructions, and complex ...
Relaxed Recursive Transformers with Layered Low-Rank Adaptation: Achieving High Performance and Low Computational Cost on Large Language Models
Large language models (LLMs) are based on deep learning architectures that capture complex linguistic relationships within layered structures. Primarily based ...
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