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: method
Google DeepMind researchers propose RT-Affordance: a hierarchical method that uses benefits as an intermediate representation of policies
In recent years, there has been significant development in the field of large pre-trained models for robot policy learning. The ...
Meta AI Introduces AdaCache: A Training-Free Method for Accelerating Video Broadcast Transformers (DiT)
Video generation has quickly become a focal point in artificial intelligence research, especially in the generation of high-fidelity and temporally ...
Future Token Prediction FTP Model: A New Transformer AI Training Method That Predicts Multiple Future Tokens
The current design of causal language models, such as GPTs, are inherently fraught with the challenge of semantic coherence over ...
KVSharer: A plug-and-play machine learning method that shares KV cache between layers to achieve layered compression
In recent times, large language models (LLMs) built on the Transformer architecture have demonstrated remarkable capabilities in a wide range ...
Mechanistic unlearning: a new artificial intelligence method that uses mechanistic interpretability to locate and edit specific model components associated with fact retrieval mechanisms
Large language models (LLMs) sometimes learn things that we don't want them to learn and understand. It is important to ...
CREAM: a new self-rewarding method that allows the model to learn more selectively and emphasize reliable preference data
One of the most critical challenges for LLMs is how to align these models with human values and preferences, especially ...
AutoDAN-Turbo – A Black Box Jailbreak Method for LLM with a Lifetime Agent
Large language models (LLMs) have gained widespread adoption due to their advanced text generation and understanding capabilities. However, ensuring their ...
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 ...
Method Chaining in Python – Analytics Vidhya
Introduction Consider writing code that involves functions that are connected to each other, in a way that does not interrupt ...
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