ADOPT: A universal adaptive gradient method for reliable convergence without hyperparameter tuning
Adam is widely used in deep learning as an adaptive optimization algorithm, but it has difficulty with convergence unless the ...
Tag: tuning
Reinforcement Learning for Physics: ODE and Hyperparameter Tuning | by Robert Etter | October 2024
Work with EDOPhysical systems can typically be modeled using differential equations or equations that include derivatives. Forces, hence Newton's laws, ...
Google DeepMind Research presents Diversity-Rewarded CFG Distillation: A Novel Tuning Approach to Improve the Balance between Quality and Diversity in Generative AI Models
Generative ai models, powered by large language models (LLM) or diffusion techniques, are revolutionizing creative realms such as art and ...
SQ-LLaVA: A New Visual Instruction Tuning Method That Improves General-Purpose Language and Vision Comprehension and Image-Oriented Question Answering Through Visual Self-Questioning
Large models of vision and language have emerged as powerful tools for multimodal understanding, demonstrating impressive capabilities for interpreting and ...
Data-augmented contrastive tuning: A breakthrough in mitigating object hallucinations
A new one investigation addresses a critical problem in large multimodal language models (MLLMs): the phenomenon of object hallucination. Object ...
SF-LLaVA: A training-free video LLM that is based on LLaVA-NeXT and requires no additional tuning to work effectively on various video tasks
Large video language models (LLMs) have emerged as powerful tools to process video inputs and generate contextually relevant responses to ...
Hyperparameter tuning in neural networks
Hyperparameters determine how well your neural network learns and processes information. Model parameters are learned during training. Unlike these parameters, ...
Hugging Face's Transformers 4.42: Gemma 2 Release, RT-DETR, InstructBlip, LLaVa-NeXT-Video, Improved Tool Usage, RAG Support, GGUF Fine Tuning, and Quantized KV Cache
Hugging Face has announced the launch of Transformers version 4.42which brings many new features and improvements to the popular machine ...
University of Maryland Researchers Introduce GenQA Instructional Dataset: Automating Large-Scale Instructional Dataset Generation for AI Model Tuning and Diversity Improvement
Natural language processing has greatly improved language model tuning. This process involves honing ai models to perform specific tasks more ...
Rethinking Neural Network Efficiency: Beyond Parameter Counting and Practical Data Tuning
Neural networks, despite their theoretical ability to fit training sets with as many samples as there are parameters, often fall ...
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