Tag: machine learning model
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Cloud Blog: To avoid “bill shocks,” Palo Alto Networks deploys custom AI-powered cost anomaly detection
Source URL: https://cloud.google.com/blog/topics/cost-management/palo-alto-networks-custom-cost-anomaly-detection-with-ai-bill-shocks/ Source: Cloud Blog Title: To avoid “bill shocks,” Palo Alto Networks deploys custom AI-powered cost anomaly detection Feedly Summary: In today’s fast-paced digital world, businesses are constantly seeking innovative ways to leverage cutting-edge technologies to gain a competitive edge. AI has emerged as a transformative force, empowering organizations to automate complex processes,…
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Hacker News: Zizmor would have caught the Ultralytics workflow vulnerability
Source URL: https://blog.yossarian.net/2024/12/06/zizmor-ultralytics-injection Source: Hacker News Title: Zizmor would have caught the Ultralytics workflow vulnerability Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text describes a security incident involving the compromise of the Ultralytics machine learning package, which led to the release of malicious software via multiple versions uploaded to PyPI. The root…
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The Register: OpenAI to charge $200 per month for ChatGPT Pro
Source URL: https://www.theregister.com/2024/12/06/openai_unveils_chatgpt_pro_for/ Source: The Register Title: OpenAI to charge $200 per month for ChatGPT Pro Feedly Summary: How much AI does one subscriber need? OpenAI says it will charge $200 per month for ChatGPT Pro, a new premium tier that costs ten times the Plus subscription price.… AI Summary and Description: Yes Summary: OpenAI…
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The Register: Google DeepMind touts AI model for ‘better’ global weather forecasting
Source URL: https://www.theregister.com/2024/12/05/google_deepmind_weather_model/ Source: The Register Title: Google DeepMind touts AI model for ‘better’ global weather forecasting Feedly Summary: Bases predictions on historical data, instead of solving physics equations Google DeepMind researchers claim they’ve used machine learning to devise a model that can deliver better 15-day weather forecasts and requires only modest quantities of compute…
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The Register: Biden administration bars China from buying HBM chips critical for AI accelerators
Source URL: https://www.theregister.com/2024/12/03/biden_hbm_china_export_ban/ Source: The Register Title: Biden administration bars China from buying HBM chips critical for AI accelerators Feedly Summary: 140 Middle Kingdom firms added to US trade blacklist The Biden administration has announced restrictions limiting the export of memory critical to the production of AI accelerators and banning sales to more than a…
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Hacker News: Sei AI (YC W22) Is Hiring an AI/ML Engineer with LLM Exposure
Source URL: https://www.ycombinator.com/companies/sei/jobs/TYbKqi0-ai-ml-llm-engineer Source: Hacker News Title: Sei AI (YC W22) Is Hiring an AI/ML Engineer with LLM Exposure Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces Sei, an AI-driven regulatory compliance platform actively recruiting AI/ML engineers to enhance its technological abilities and support its rapid growth. The focus on developing…
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Simon Willison’s Weblog: 0xfreysa/agent
Source URL: https://simonwillison.net/2024/Nov/29/0xfreysaagent/#atom-everything Source: Simon Willison’s Weblog Title: 0xfreysa/agent Feedly Summary: 0xfreysa/agent Freysa describes itself as “the world’s first adversarial agent game". On 22nd November they released an LLM-driven application which people could pay to message (using Ethereum), with access to tools that could transfer a prize pool to the message sender, ending the game.…
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Hacker News: An Intuitive Explanation of Sparse Autoencoders for LLM Interpretability
Source URL: https://adamkarvonen.github.io/machine_learning/2024/06/11/sae-intuitions.html Source: Hacker News Title: An Intuitive Explanation of Sparse Autoencoders for LLM Interpretability Feedly Summary: Comments AI Summary and Description: Yes **Summary**: The text discusses Sparse Autoencoders (SAEs) and their significance in interpreting machine learning models, particularly large language models (LLMs). It explains how SAEs can provide insights into the functioning of…