NVIDIA AI Open-Sources ‘NeMo-Aligner’: Transforming Large Language Model Alignment with Efficient Reinforcement Learning

The large language models (LLMs) research domain emphasizes aligning these models with human preferences to produce helpful, unbiased, and safe responses. Researchers have made significant strides in training LLMs to improve their ability to understand, comprehend, and interact with human-generated text, enhancing communication between humans and machines. A primary challenge in NLP is teaching LLMs […]

The post NVIDIA AI Open-Sources ‘NeMo-Aligner’: Transforming Large Language Model Alignment with Efficient Reinforcement Learning appeared first on MarkTechPost.

ai paper summary ai shorts alignment applications artificial intelligence communication domain editors pick generated human humans language language model language models large language large language model large language models llms machines nemo nvidia nvidia ai reinforcement reinforcement learning research researchers responses safe staff tech news technology text training training llms unbiased