between this and @_xjdr's sharing entropix, i am super bullish on opensource ai development in the next year applying all the breakthroughs will mean better models and faster training cycles. insane. https://t.co/qIXWiV4jB4
You can now build web applications for free without writing a single line of code. @togethercompute released LlamaCoder that is powered by @Meta's latest language model, Llama 3.1 with 405 billion parameters. https://t.co/fJ5WbnjoCa
First-ever opensource decentralized training of Llama like 10B LLM where anyone can contribute the compute. 100% opensource and trained on open compute. https://t.co/uwuL8fXDPJ
The launch of the first decentralized training project on a global scale marks a significant milestone in the world of artificial intelligence. This initiative allows anyone to contribute compute resources, enabling the training of large language models (LLMs) without the need for massive data centers. The project is entirely open-source and has been compared to models like Llama, with the potential to pretrain better models through community contributions. This approach leverages distributed GPUs across the world, challenging traditional norms of compute-memory-storage-network in data centers. Recent advancements such as DiLoCo demonstrate the feasibility of this decentralized method. The project includes the first-ever open-source decentralized training of a 10B LLM on open compute.