NEWSLETTER
TIS-DPO: Importance sampling at the token level for direct preferences optimization
The direct preference optimization (DPO) has been widely adopted for the alignment of preferences of large language models (LLM) due ...
Tag: sampling
Language models prior to the appearance of tasks through sampling of grouped importance
Specialized language models (LMS) focus on a specific task or domain in which they often exceed the generalists of the ...
Efficient Inference time scale for flow models: improvement of sampling diversity and calculating allocation
Recent advances in ai laws have changed an increase in model size and training data optimization of the inference time ...
Credit card fraud detection with different sampling techniques | by Mythili Krishnan | December 2024
Credit card fraud detection is a plague that affects all financial institutions. In general, fraud detection is very challenging because ...
This AI Paper Sets a New Benchmark in Sampling with Controlled Sequential Langevin Diffusion Algorithm
Sampling from complex probability distributions is important in many fields, including statistical modeling, machine learning, and physics. This involves generating ...
A Study on Protein Conformational Changes Using a Large-Scale Biophysical Sampling Augmented Deep Learning Strategy
Predicting protein conformational changes remains a crucial challenge in computational biology and artificial intelligence. Advances made through deep learning, such ...
OpenAI Stabilizes Continuous-Time Generative Models: How TrigFlow's Innovative Framework Narrowed the Gap to Leading Diffusion Models Using Just Two Sampling Steps
Generative artificial intelligence (ai) models are designed to create high-quality, realistic data, such as images, audio, and video, based on ...
JAMUN: a walk-jump sampling model for generating ensembles of molecular conformations
The dynamics of protein structures is crucial for understanding their functions and developing targeted drug treatments, particularly for cryptic binding ...
How AI is improving simulations with smarter sampling techniques | MIT News
<img src="https://news.mit.edu/sites/default/files/styles/news_article__cover_image__original/public/images/202409/ai-improving-simulations.jpg?itok=Ma8YMY8F" /> Imagine that you are tasked with sending a team of soccer players to a field to evaluate ...
Stanford researchers explore scaling inference computing in language models: how to achieve better performance and cost-effectiveness through repeated sampling
ai has seen significant advancement in coding, math, and reasoning tasks. These advances are largely due to the increased use ...
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