Tag: model training
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Simon Willison’s Weblog: Preview: Gemini API Additional Terms of Service
Source URL: https://simonwillison.net/2024/Nov/19/preview-gemini/#atom-everything Source: Simon Willison’s Weblog Title: Preview: Gemini API Additional Terms of Service Feedly Summary: Preview: Gemini API Additional Terms of Service Google sent out an email last week linking to this preview of upcoming changes to the Gemini API terms. Key paragraph from that email: To maintain a safe and responsible environment…
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Hacker News: Expand.ai (YC S24) Is Hiring a Founding Engineer to Turn the Web into an API
Source URL: https://news.ycombinator.com/item?id=42182503 Source: Hacker News Title: Expand.ai (YC S24) Is Hiring a Founding Engineer to Turn the Web into an API Feedly Summary: Comments AI Summary and Description: Yes Summary: The text describes the formation of an engineering team at expand.ai focused on developing web extraction agents that address the data bottleneck faced by…
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Hacker News: Batched reward model inference and Best-of-N sampling
Source URL: https://raw.sh/posts/easy_reward_model_inference Source: Hacker News Title: Batched reward model inference and Best-of-N sampling Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses advancements in reinforcement learning (RL) models applied to large language models (LLMs), focusing particularly on reward models utilized in techniques like Reinforcement Learning with Human Feedback (RLHF) and dynamic…
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Slashdot: AI Lab PleIAs Releases Fully Open Dataset, as AMD, Ai2 Release Open AI Models
Source URL: https://news.slashdot.org/story/24/11/16/0326222/ai-lab-pleias-releases-fully-open-dataset-as-amd-ai2-release-open-ai-models?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: AI Lab PleIAs Releases Fully Open Dataset, as AMD, Ai2 Release Open AI Models Feedly Summary: AI Summary and Description: Yes Summary: The text outlines PleIAs’ commitment to open training for large language models (LLMs) through the release of Common Corpus, highlighting the significance of open data for LLM…
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Hacker News: Watermark Anything
Source URL: https://github.com/facebookresearch/watermark-anything Source: Hacker News Title: Watermark Anything Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses “Watermark Anything,” a method for embedding localized watermarks into images using pretrained models and a specific implementation within a Python environment. It outlines the installation process, utilization of the COCO dataset for training, and…
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Cloud Blog: 65,000 nodes and counting: Google Kubernetes Engine is ready for trillion-parameter AI models
Source URL: https://cloud.google.com/blog/products/containers-kubernetes/gke-65k-nodes-and-counting/ Source: Cloud Blog Title: 65,000 nodes and counting: Google Kubernetes Engine is ready for trillion-parameter AI models Feedly Summary: As generative AI evolves, we’re beginning to see the transformative potential it is having across industries and our lives. And as large language models (LLMs) increase in size — current models are reaching…
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Cloud Blog: Unlocking LLM training efficiency with Trillium — a performance analysis
Source URL: https://cloud.google.com/blog/products/compute/trillium-mlperf-41-training-benchmarks/ Source: Cloud Blog Title: Unlocking LLM training efficiency with Trillium — a performance analysis Feedly Summary: Rapidly evolving generative AI models place unprecedented demands on the performance and efficiency of hardware accelerators. Last month, we launched our sixth-generation Tensor Processing Unit (TPU), Trillium, to address the demands of next-generation models. Trillium is…
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Hacker News: Data movement bottlenecks to large-scale model training: Scaling past 1e28 FLOP
Source URL: https://epochai.org/blog/data-movement-bottlenecks-scaling-past-1e28-flop Source: Hacker News Title: Data movement bottlenecks to large-scale model training: Scaling past 1e28 FLOP Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The provided text explores the limitations and challenges of scaling large language models (LLMs) in distributed training environments. It highlights critical technological constraints related to data movement both…
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Wired: OpenAI Scored a Legal Win Over Progressive Publishers—but the Fight’s Not Finished
Source URL: https://www.wired.com/story/opena-alternet-raw-story-copyright-lawsuit-dmca-standing/ Source: Wired Title: OpenAI Scored a Legal Win Over Progressive Publishers—but the Fight’s Not Finished Feedly Summary: A judge tossed out a case against OpenAI brought by Alternet and Raw Story, in what could be a significant ruling in the larger battle between AI companies and publishers. AI Summary and Description: Yes…