Motif-2-12.7B-Reasoning is positioned as competitive with much larger models, but its real value lies in the transparency of ...

OpenMMReasoner emphasizes data quality and diversity over quantity, offering a new path for enterprises to build custom, high-performing AI with limited proprietary data.

OpenAI’s reinforcement fine-tuning (RFT) is set to transform how artificial intelligence (AI) models are customized for specialized tasks. Using reinforcement learning, this method improves a model’s ...

RFT on Amazon Bedrock simplifies the model customisation process, opening the technique to any developer at any organisation.

Apple researchers presented UniGen 1.5, a system that can handle image understanding, generation, and editing within a single model.

Reinforcement Learning from Human Feedback (RLHF) has emerged as a crucial technique for enhancing the performance and alignment of AI systems, particularly large language models (LLMs). By ...

In stage 1, researchers pre-train the cross-lingual MOSS-base model with public text and code corpora. In stage 2, they first perform supervised fine-tuning (SFT) with synthetic conversational data ...