Curated News
By: NewsRamp Editorial Staff
April 12, 2024
Exabits Partners with MyShell to Achieve Breakthrough in LLM Training
Discuss on RedditTLDR
- Exabits' JetMoE-8B model outperforms competitors at a fraction of the cost, giving a significant advantage in machine learning capabilities.
- JetMoE-8B's architecture and Exabits' GPU technology significantly lower training costs while delivering state-of-the-art results in machine learning.
- Exabits' platform and JetMoE-8B model embody affordability, accessibility, and environmental consciousness, paving the way for sustainable and inclusive advancements in AI research and development.
- Exabits has disproved skepticism about decentralized GPU platforms for LLM training, and its partnership with MyShell showcases the potential for AI accessibility and innovation.
Impact - Why it Matters
This breakthrough in LLM training demonstrates a significant reduction in training costs and paves the way for more sustainable and inclusive advancements in AI research and development. It challenges the status quo of big compute and sets a new standard in the computational economy, heralding a new era of innovation and collaboration in the field of web3 and artificial intelligence.
Summary
Exabits has partnered with MyShell to train the JetMoE-8B model, achieving LLaMA2 performance at a fraction of the cost. The 8 billion parameter model demonstrates advanced efficiency and computational intelligence, outperforming competitors like LLaMA-13B and DeepseekMoE-16B. Exabits' contribution of an accelerated and stabilized cluster of 12 H100 GPU nodes played a pivotal role in powering the JetMoE model, highlighting the effectiveness of combining advanced model architectures with Exabits' cloud compute infrastructure.
Source Statement
This curated news summary relied on this press release disributed by BlockchainWire. Read the source press release here, Exabits Partners with MyShell to Achieve Breakthrough in LLM Training
