Experimental News Clipping Site

Tag: tuning

  • Hacker News: O3 "Arc AGI" Postmortem

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    Source URL: https://garymarcus.substack.com/p/c39 Source: Hacker News Title: O3 "Arc AGI" Postmortem Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses criticisms surrounding OpenAI’s recent advancements, particularly focusing on the misconceptions around its new model (referred to as “o3”) and its implications for AGI (Artificial General Intelligence). Experts argue that the performance metrics…

  • AWS News Blog: Accelerate foundation model training and fine-tuning with new Amazon SageMaker HyperPod recipes

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    Source URL: https://aws.amazon.com/blogs/aws/accelerate-foundation-model-training-and-fine-tuning-with-new-amazon-sagemaker-hyperpod-recipes/ Source: AWS News Blog Title: Accelerate foundation model training and fine-tuning with new Amazon SageMaker HyperPod recipes Feedly Summary: Amazon SageMaker HyperPod recipes help customers get started with training and fine-tuning popular publicly available foundation models, like Llama 3.1 405B, in just minutes with state-of-the-art performance. AI Summary and Description: Yes **Summary:**…

  • AWS News Blog: Accelerate foundation model training and fine-tuning with new Amazon SageMaker HyperPod recipes

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    Source URL: https://aws.amazon.com/blogs/aws/accelerate-foundation-model-training-and-fine-tuning-with-new-amazon-sagemaker-hyperpod-recipes/ Source: AWS News Blog Title: Accelerate foundation model training and fine-tuning with new Amazon SageMaker HyperPod recipes Feedly Summary: Amazon SageMaker HyperPod recipes help customers get started with training and fine-tuning popular publicly available foundation models, like Llama 3.1 405B, in just minutes with state-of-the-art performance. AI Summary and Description: Yes **Summary:**…

  • Cloud Blog: Optimizing RAG retrieval: Test, tune, succeed

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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/optimizing-rag-retrieval/ Source: Cloud Blog Title: Optimizing RAG retrieval: Test, tune, succeed Feedly Summary: Retrieval-augmented generation (RAG) supercharges large language models (LLMs) by connecting them to real-time, proprietary, and specialized data. This helps LLMs deliver more accurate, relevant, and contextually aware responses, minimizing hallucinations and building trust in AI applications. But RAG can be…

  • Cloud Blog: Google Cloud and SAP: Powering AI with enterprise data

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    Source URL: https://cloud.google.com/blog/products/sap-google-cloud/the-case-for-running-rise-with-sap-on-google-cloud/ Source: Cloud Blog Title: Google Cloud and SAP: Powering AI with enterprise data Feedly Summary: As the 2027 end of support for SAP Business Suite 7 approaches, SAP customers need to decide where to deploy as they upgrade to cloud-based S/4HANA and RISE with SAP. This represents a great opportunity to get…

  • Hacker News: No More Adam: Learning Rate Scaling at Initialization Is All You Need

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    Source URL: https://arxiv.org/abs/2412.11768 Source: Hacker News Title: No More Adam: Learning Rate Scaling at Initialization Is All You Need Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents a novel optimization technique called SGD-SaI that enhances the stochastic gradient descent (SGD) algorithm for training deep neural networks. This method simplifies the process…

  • OpenAI : OpenAI o1 and new tools for developers

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    Source URL: https://openai.com/index/o1-and-new-tools-for-developers Source: OpenAI Title: OpenAI o1 and new tools for developers Feedly Summary: Introducing OpenAI o1, Realtime API improvements, a new fine-tuning method and more for developers AI Summary and Description: Yes Summary: The introduction of OpenAI’s o1 and its accompanying real-time API improvements signifies a significant advancement for developers, particularly in the…

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

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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…

  • Hacker News: AI Product Management – Andrew Ng

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    Source URL: https://www.deeplearning.ai/the-batch/issue-279/ Source: Hacker News Title: AI Product Management – Andrew Ng Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides an in-depth exploration of recent advancements in AI product management, particularly focusing on the evolving landscape due to generative AI and AI-based tools. It highlights the importance of concrete specifications…

  • Hacker News: AI Scaling Laws

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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…