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 ...

DPO (Direct Preference Optimization) simplifies alignment by eliminating the need for separate reward models and complex reinforcement learning loops. This implementation provides a complete toolchain ...

India Post GDS Apply Online 2026: The Department of Posts, under the Ministry of Communications, has released the India Post GDS Recruitment 2026 Notification, announcing over 30,000 vacancies for ...

DoiT, a global leader in enterprise-grade FinOps and CloudOps solutions, is acquiring SELECT, a data optimization company purpose-built to help organizations gain visibility and control over data ...

Abstract: In cloud-edge-end (CEE) collaboration, the resource optimization based on deep reinforcement learning have achieved significant performance improvements in time-slot systems. However, some ...

Abstract: Implicit reward mechanism of Direct Preference Optimization (DPO) has facilitated its recent applications beyond large language models (LLMs), notably in aligning text-to-image models with ...

This holiday season, more shoppers are expected to use chatbots to figure out what to buy. ‘Tis the season for GEO. As people start relying on chatbots to discover new products, retailers are having ...

This repository contains the reference code for the paper Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization, BMVC 2025. Multimodal Large Language Models (MLLMs) ...