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 hpc-ai.com
Enhanced MoE Parallelism, Open-source MoE Model Training Can Be 9 Times More Efficient
| | www.primeintellect.ai
State-of-the-art in Decentralized Training
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| | pytorch.org
Introducing PyTorch Fully Sharded Data Parallel (FSDP) API | PyTorch
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| | Recent studies have shown that large model training will be beneficial for improving model quality. During the last 3 years, model size grew 10,000 times from BERT with 110M parameters to Megatron-2 with one trillion. However, training large AI models is not easy-aside from the need for large amounts of computing resources, software engineering complexity is also challenging. PyTorch has been working on building tools and infrastructure to make it easier.
| | syncedreview.com
65-Billion-Parameter Large Model Pretraining Accelerated by 38%, Best Practices for Building LLaMA-like Base Models Open-Sour...
3.2 parsecs away

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| | Global technology companies are scrambling to enter the AI large model competition by building models similar to ChatGPT/GPT-4. Consequently, the amount of financing, mergers, and acquisitions obtained by AIGC-related companies has reached record highs. However, an extremely high cost accompanies the skyrocketing popularity of AI models, with a single pre-training typically requiring millions of dollars.
| | ssir.org
How AI-Powered Nonprofits Are Building the Next Generation of Education Tools
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| AI is being used in exciting ways to bridge educational divides, and AI-powered nonprofits are creating a roadmap for what the future of education may hold.