In this tutorial, we implement an end-to-end Direct Preference Optimization workflow to align a large language model with human preferences without using a reward model. We combine TRL’s DPOTrainer ...

Reality shows that they need to produce them much faster than traditional production methods allow. While all of these factors are required by brands to be successful in their respective ...

Abstract: In this paper, a multi-objective topology optimization methodology which incorporates a novel hybrid multi-objective optimization (MOO) algorithm with a material-field series expansion (MFSE ...

With reported 3x speed gains and limited degradation in output quality, the method targets one of the biggest pain points in production AI systems: latency at scale.

Abstract: In this paper, we introduce a novel approach for addressing the multi-objective optimization problem in large language model merging via black-box multi-objective optimization algorithms.

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Generative engine optimization (GEO) is the practice of positioning your brand and content so that AI platforms like Google AI Overviews, ChatGPT, and Perplexity cite, recommend, or mention you when ...

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