# Distributed Training
Fresh Picks

EPLB
Expert Parallelism Load Balancer (EPLB) is a load balancing algorithm for Expert Parallelism (EP) in deep learning. It ensures load balance across different GPUs through a redundant expert strategy and a heuristic packing algorithm, while utilizing group-constrained expert routing to reduce inter-node data traffic. This algorithm is significant for large-scale distributed training, improving resource utilization and training efficiency.
Model Training and Deployment
50.2K
Fresh Picks

Dualpipe
DualPipe is an innovative bidirectional pipeline parallel algorithm developed by the DeepSeek-AI team. By optimizing the overlap of computation and communication, this algorithm significantly reduces pipeline bubbles and improves training efficiency. It performs exceptionally well in large-scale distributed training, especially for deep learning tasks requiring efficient parallelization. DualPipe is developed based on PyTorch, easy to integrate and extend, and suitable for developers and researchers who need high-performance computing.
Model Training and Deployment
50.2K

Llasa Training
LLaSA_training is a speech synthesis training project based on LLaMA, aimed at enhancing the efficiency and performance of speech synthesis models by optimizing training and inference computational resources. This project leverages both open-source datasets and proprietary datasets for training, supports various configurations and training methods, and offers high flexibility and scalability. Its main advantages include efficient data processing capabilities, strong speech synthesis effects, and support for multiple languages. This project is suitable for researchers and developers in need of high-performance speech synthesis solutions, applicable to the development of intelligent voice assistants, speech broadcasting systems, and other scenarios.
Model Training and Deployment
54.9K

Memory
Memory Layers at Scale is an innovative implementation of memory layers that adds extra parameters to models through a trainable key-value lookup mechanism, without increasing floating-point operations. This method is particularly significant in large-scale language models as it enhances the model's storage and retrieval capabilities while maintaining computational efficiency. The key advantages of this technology include effective model capacity expansion, reduced computational resource consumption, and improved model flexibility and scalability. Developed by the Meta Lingua team, this project is suited for scenarios that handle large datasets and complex models.
AI Model
44.2K

Prime
PrimeIntellect-ai/prime is a framework designed for efficient, globally distributed training of AI models over the internet. Through technological innovation, it facilitates cross-regional AI model training, improves computing resource utilization, and reduces training costs, which is critical for AI research and application development that requires significant computational resources.
Model Training and Deployment
49.4K

INTELLECT 1 Instruct
INTELLECT-1-Instruct is a 1 billion parameter language model trained from scratch on 1 trillion English text and code tokens by Prime Intellect. The model supports text generation and has the capability for distributed training, allowing for high-performance training across unreliable, globally distributed workers. It utilizes the DiLoCo algorithm for training and a custom int8 all-reduce kernel to minimize communication load, significantly reducing communication overhead. The background information reveals that it has received computational support from 30 independent community contributors and underwent training across 14 concurrent nodes on three continents.
AI Model
46.4K

Meta Lingua
Meta Lingua is a lightweight and efficient library for training and inference of large language models (LLMs) designed specifically for research purposes. It utilizes easy-to-modify PyTorch components, enabling researchers to experiment with new architectures, loss functions, and datasets. The library aims to facilitate end-to-end training, inference, and evaluation, providing tools for better understanding the speed and stability of the models. Although Meta Lingua is still under development, it already offers several sample applications demonstrating how to use this repository.
Model Training and Deployment
48.3K
English Picks

Prime Intellect
Prime Intellect is committed to democratizing AI development on a scalable scale. It offers the discovery of global computing resources, model training, and the capability to co-own smart innovation. By distributing training across clusters, it enables users to train cutting-edge models and co-own the open AI innovation outcomes, including language models and scientific breakthroughs.
Development Platform
65.4K
Fresh Picks

Opendiloco
OpenDiLoCo is an open-source framework that implements and extends DeepMind’s Distributed Low-Bandwidth (DiLoCo) method, supporting global distributed AI model training. It makes it possible to efficiently train AI models in areas with scattered resources by providing a scalable and decentralized framework, which is significant for promoting the普及 and innovation of AI technology.
AI development assistant
48.6K

Zero Bubble Pipeline Parallelism
Zero Bubble Pipeline Parallelism is a crucial component of large-scale distributed training, and its efficiency is affected by pipeline bubbles. We introduce a scheduling strategy that successfully achieves zero pipeline bubbles under synchronous training semantics. The core idea behind this improvement is to divide backward calculation into two parts: one part calculates the gradients of the input, and the other part calculates the gradients of the parameters. Based on this idea, we manually designed novel pipeline scheduling, which significantly outperforms benchmark methods. We further developed an algorithm that automatically finds the optimal scheduling based on specific model configuration and memory constraints. Furthermore, to truly achieve zero bubbles, we introduce a novel technique that bypasses synchronization during optimizer steps. Experimental evaluation demonstrates that our method achieves up to 23% higher throughput than the 1F1B schedule under similar memory constraints. This number can further increase to 31% when memory constraints are relaxed. We believe our results mark an important step towards realizing the potential of pipeline parallelism.
AI model inference training
51.9K
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Flow AI
Flow is an AI-driven movie-making tool designed for creators, utilizing Google DeepMind's advanced models to allow users to easily create excellent movie clips, scenes, and stories. The tool provides a seamless creative experience, supporting user-defined assets or generating content within Flow. In terms of pricing, the Google AI Pro and Google AI Ultra plans offer different functionalities suitable for various user needs.
Video Production
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Nocode
NoCode is a platform that requires no programming experience, allowing users to quickly generate applications by describing their ideas in natural language, aiming to lower development barriers so more people can realize their ideas. The platform provides real-time previews and one-click deployment features, making it very suitable for non-technical users to turn their ideas into reality.
Development Platform
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Listenhub
ListenHub is a lightweight AI podcast generation tool that supports both Chinese and English. Based on cutting-edge AI technology, it can quickly generate podcast content of interest to users. Its main advantages include natural dialogue and ultra-realistic voice effects, allowing users to enjoy high-quality auditory experiences anytime and anywhere. ListenHub not only improves the speed of content generation but also offers compatibility with mobile devices, making it convenient for users to use in different settings. The product is positioned as an efficient information acquisition tool, suitable for the needs of a wide range of listeners.
AI
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Minimax Agent
MiniMax Agent is an intelligent AI companion that adopts the latest multimodal technology. The MCP multi-agent collaboration enables AI teams to efficiently solve complex problems. It provides features such as instant answers, visual analysis, and voice interaction, which can increase productivity by 10 times.
Multimodal technology
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Chinese Picks

Tencent Hunyuan Image 2.0
Tencent Hunyuan Image 2.0 is Tencent's latest released AI image generation model, significantly improving generation speed and image quality. With a super-high compression ratio codec and new diffusion architecture, image generation speed can reach milliseconds, avoiding the waiting time of traditional generation. At the same time, the model improves the realism and detail representation of images through the combination of reinforcement learning algorithms and human aesthetic knowledge, suitable for professional users such as designers and creators.
Image Generation
44.2K

Openmemory MCP
OpenMemory is an open-source personal memory layer that provides private, portable memory management for large language models (LLMs). It ensures users have full control over their data, maintaining its security when building AI applications. This project supports Docker, Python, and Node.js, making it suitable for developers seeking personalized AI experiences. OpenMemory is particularly suited for users who wish to use AI without revealing personal information.
open source
43.9K

Fastvlm
FastVLM is an efficient visual encoding model designed specifically for visual language models. It uses the innovative FastViTHD hybrid visual encoder to reduce the time required for encoding high-resolution images and the number of output tokens, resulting in excellent performance in both speed and accuracy. FastVLM is primarily positioned to provide developers with powerful visual language processing capabilities, applicable to various scenarios, particularly performing excellently on mobile devices that require rapid response.
Image Processing
42.0K
Chinese Picks

Liblibai
LiblibAI is a leading Chinese AI creative platform offering powerful AI creative tools to help creators bring their imagination to life. The platform provides a vast library of free AI creative models, allowing users to search and utilize these models for image, text, and audio creations. Users can also train their own AI models on the platform. Focused on the diverse needs of creators, LiblibAI is committed to creating inclusive conditions and serving the creative industry, ensuring that everyone can enjoy the joy of creation.
AI Model
6.9M