Introducing LoongForge, a High-Performance Training Framework for Large Language Models
fine-tuning multimodal training
| Source: HN | Original article
Baidu releases LoongForge, a high-performance framework for training large models.
Baidu has unveiled LoongForge, a high-performance training framework for large language models (LLMs), vision-language models (VLMs), vision-language-action models (VLAs), and more. This modular and scalable framework supports key stages of the training pipeline, including pre-training, continued pre-training, and supervised fine-tuning.
As we reported on May 21, training language models to be warm can reduce accuracy and increase sycophancy, highlighting the need for efficient and effective training frameworks. LoongForge addresses this challenge by delivering a comprehensive training framework for large-scale transformer models across diverse modalities and architectures.
What's worth watching next is how LoongForge will be adopted by the AI research community and its potential impact on the development of multimodal AI models. With experts like Houyi Li working on pre-training, LLM/VLM, and model architecture, the future of AI model training looks promising. LoongForge's ability to support vision-language-action models, which can understand images, process language, and perform real-world actions, could lead to significant advancements in robotics and AI assistants.
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