Tag: model training
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Hacker News: DeepSeek: Advancing theorem proving in LLMs through large-scale synthetic data
Source URL: https://arxiv.org/abs/2405.14333 Source: Hacker News Title: DeepSeek: Advancing theorem proving in LLMs through large-scale synthetic data Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper introduces DeepSeek-Prover, an innovative approach that leverages large-scale synthetic data to improve the capabilities of large language models (LLMs) in formal theorem proving. It highlights the challenges…
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Hacker News: INTELLECT–1: Launching the First Decentralized Training of a 10B Parameter Model
Source URL: https://www.primeintellect.ai/blog/intellect-1 Source: Hacker News Title: INTELLECT–1: Launching the First Decentralized Training of a 10B Parameter Model Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the launch of INTELLECT-1, a pioneering initiative for decentralized training of a large AI model with 10 billion parameters. It highlights the use of the…
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Hacker News: Scuda – Virtual GPU over IP
Source URL: https://github.com/kevmo314/scuda Source: Hacker News Title: Scuda – Virtual GPU over IP Feedly Summary: Comments AI Summary and Description: Yes Summary: The text outlines SCUDA, a GPU over IP bridge that facilitates remote access to GPUs from CPU-only machines. It describes its setup and various use cases, such as local testing and remote model…
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Hacker News: $2 H100s: How the GPU Rental Bubble Burst
Source URL: https://www.latent.space/p/gpu-bubble Source: Hacker News Title: $2 H100s: How the GPU Rental Bubble Burst Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the current trends and economic implications of the GPU market, specifically focusing on NVIDIA’s H100 GPUs and their role in AI model training. It highlights the shift from…
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Hacker News: Trap – Transformers in APL
Source URL: https://github.com/BobMcDear/trap Source: Hacker News Title: Trap – Transformers in APL Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses an implementation of autoregressive transformers in APL, specifically focused on GPT2, highlighting its unique approach to handling performance and simplicity in deep learning. It offers insights that are particularly relevant to…