Tag: training

Source URL: https://arxiv.org/abs/2406.04823 Source: Hacker News Title: BERTs Are Generative In-Context Learners Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper titled “BERTs are Generative In-Context Learners” explores the capabilities of masked language models, specifically DeBERTa, in performing generative tasks akin to those of causal language models like GPT. This demonstrates a significant…

Simon Willison’s Weblog: Releasing the largest multilingual open pretraining dataset

Nov 14, 2024

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Source URL: https://simonwillison.net/2024/Nov/14/releasing-the-largest-multilingual-open-pretraining-dataset/#atom-everything Source: Simon Willison’s Weblog Title: Releasing the largest multilingual open pretraining dataset Feedly Summary: Releasing the largest multilingual open pretraining dataset Common Corpus is a new “open and permissible licensed text dataset, comprising over 2 trillion tokens (2,003,039,184,047 tokens)" released by French AI Lab PleIAs. This appears to be the largest available…

Hacker News: Diffusion models are evolutionary algorithms

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Source URL: https://gonzoml.substack.com/p/diffusion-models-are-evolutionary Source: Hacker News Title: Diffusion models are evolutionary algorithms Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a groundbreaking paper linking diffusion models and evolutionary algorithms, positing that both processes create novelty and generalization in data. This revelation is crucial for AI professionals, particularly in generative AI and…

Hacker News: Watermark Anything

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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…

Rainforest QA Blog | Software Testing Guides: New research: AI struggles to conquer open-source test maintenance challenges

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Source URL: https://www.rainforestqa.com/blog/ai-vs-open-source-test-maintenance Source: Rainforest QA Blog | Software Testing Guides Title: New research: AI struggles to conquer open-source test maintenance challenges Feedly Summary: New research shows AI isn’t paying off in ways that matter to software teams using open-source frameworks. AI Summary and Description: Yes Summary: The text discusses the findings from a survey…

The Register: California’s last nuclear plant turns to generative AI for filing and finding the fine print

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Source URL: https://www.theregister.com/2024/11/13/nuclear_plant_generative_ai/ Source: The Register Title: California’s last nuclear plant turns to generative AI for filing and finding the fine print Feedly Summary: Diablo Canyon gets nifty new tech to … speed up document retrieval? A California startup is deploying what it says is the first commercial installation of generative AI at a US…

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…

Cloud Blog: 65,000 nodes and counting: Google Kubernetes Engine is ready for trillion-parameter AI models

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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…

Cloud Blog: Unlocking LLM training efficiency with Trillium — a performance analysis

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