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Tag: pre-training

  • Hacker News: Nvidia CEO says his AI chips are improving faster than Moore’s Law

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    Kurt Seifried
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    Source URL: https://techcrunch.com/2025/01/07/nvidia-ceo-says-his-ai-chips-are-improving-faster-than-moores-law/ Source: Hacker News Title: Nvidia CEO says his AI chips are improving faster than Moore’s Law Feedly Summary: Comments AI Summary and Description: Yes Summary: Jensen Huang, CEO of Nvidia, asserts that the performance of the company’s AI chips is advancing at a pace exceeding the historical benchmark of Moore’s Law. This…

  • Hacker News: RT-2: Vision-Language-Action Models

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    system automation
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    Source URL: https://robotics-transformer2.github.io/ Source: Hacker News Title: RT-2: Vision-Language-Action Models Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the evaluation and capabilities of the RT-2 model, which exhibits advanced emergent properties in terms of symbol understanding, reasoning, and object recognition. It compares RT-2, trained on various architectures, to its predecessor and…

  • Hacker News: DeepSeek-V3

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    system automation
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    Source URL: https://github.com/deepseek-ai/DeepSeek-V3 Source: Hacker News Title: DeepSeek-V3 Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces DeepSeek-V3, a significant advancement in language model technology, showcasing its innovative architecture and training techniques designed for improving efficiency and performance. For AI, cloud, and infrastructure security professionals, the novel methodologies and benchmarks presented can…

  • Cloud Blog: Orchestrating GPU-based distributed training workloads on AI Hypercomputer

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    system automation
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/gpu-orchestration-options-on-ai-hypercomputer/ Source: Cloud Blog Title: Orchestrating GPU-based distributed training workloads on AI Hypercomputer Feedly Summary: When it comes to AI, large language models (LLMs) and machine learning (ML) are taking entire industries to the next level. But with larger models and datasets, developers need distributed environments that span multiple AI accelerators (e.g. GPUs…

  • CSA: Test Time Compute

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    system automation
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    Source URL: https://cloudsecurityalliance.org/blog/2024/12/13/test-time-compute Source: CSA Title: Test Time Compute Feedly Summary: AI Summary and Description: Yes **Summary:** The text discusses Test-Time Computation (TTC) as a pivotal technique to enhance the performance and efficiency of large language models (LLMs) in real-world applications. It highlights adaptive strategies, the integration of advanced methodologies like Monte Carlo Tree Search…

  • Hacker News: AI Scaling Laws

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    system automation
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    Source URL: https://semianalysis.com/2024/12/11/scaling-laws-o1-pro-architecture-reasoning-training-infrastructure-orion-and-claude-3-5-opus-failures/ Source: Hacker News Title: AI Scaling Laws Feedly Summary: Comments AI Summary and Description: Yes Summary: The text centers around the ongoing discourse and advancements related to AI scaling laws, particularly concerning Large Language Models (LLMs) and their performance. It contrasts bearish narratives surrounding the scalability of AI models with the significant…

  • Hacker News: Large Language Models as Markov Chains

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    system automation
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    Source URL: https://arxiv.org/abs/2410.02724 Source: Hacker News Title: Large Language Models as Markov Chains Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents a theoretical analysis of large language models (LLMs) by framing them as equivalent to Markov chains. This approach may unveil new insights into LLM performance, pre-training, and generalization, which are…

  • Hacker News: Full LLM training and evaluation toolkit

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    system automation
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    Source URL: https://github.com/huggingface/smollm Source: Hacker News Title: Full LLM training and evaluation toolkit Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces SmolLM2, a family of compact language models with varying parameters designed for lightweight, on-device applications, and details on how they can be utilized in different scenarios. Such advancements in AI…

  • The Register: Nvidia’s MLPerf submission shows B200 offers up to 2.2x training performance of H100

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    Source URL: https://www.theregister.com/2024/11/13/nvidia_b200_performance/ Source: The Register Title: Nvidia’s MLPerf submission shows B200 offers up to 2.2x training performance of H100 Feedly Summary: Is Huang leaving even more juice on the table by opting for mid-tier Blackwell part? Signs point to yes Analysis Nvidia offered the first look at how its upcoming Blackwell accelerators stack up…

  • Hacker News: Physical Intelligence’s first generalist policy AI can finally do your laundry

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    system automation
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    Source URL: https://www.physicalintelligence.company/blog/pi0 Source: Hacker News Title: Physical Intelligence’s first generalist policy AI can finally do your laundry Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents significant advancements in robot foundation models, specifically the development of π0, a model aiming to endow robots with physical intelligence. It highlights the challenges and…