Tag: model optimization
-
Cloud Blog: How WindTL is transforming wildfire management with Google Cloud
Source URL: https://cloud.google.com/blog/topics/developers-practitioners/windtl-is-transforming-wildfire-risk-management-with-google-cloud/ Source: Cloud Blog Title: How WindTL is transforming wildfire management with Google Cloud Feedly Summary: Imagine a world where we could outsmart wildfires, predict their chaotic spread, and shield communities from their devastating reach. That’s the vision Rocio Frej Vitalle and the Improving Aviation team had when they created WindTL, a tool…
-
Hacker News: Tao: Using test-time compute to train efficient LLMs without labeled data
Source URL: https://www.databricks.com/blog/tao-using-test-time-compute-train-efficient-llms-without-labeled-data Source: Hacker News Title: Tao: Using test-time compute to train efficient LLMs without labeled data Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces a new model tuning method for large language models (LLMs) called Test-time Adaptive Optimization (TAO) that enhances model quality without requiring large amounts of labeled…
-
Hacker News: Ladder: Self-Improving LLMs Through Recursive Problem Decomposition
Source URL: https://arxiv.org/abs/2503.00735 Source: Hacker News Title: Ladder: Self-Improving LLMs Through Recursive Problem Decomposition Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper introduces LADDER, a novel framework for enhancing the problem-solving capabilities of Large Language Models (LLMs) through a self-guided learning approach. By recursively generating simpler problem variants, LADDER enables models to…
-
Hacker News: DeepSeek Open Source Optimized Parallelism Strategies, 3 repos
Source URL: https://github.com/deepseek-ai/profile-data Source: Hacker News Title: DeepSeek Open Source Optimized Parallelism Strategies, 3 repos Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses profiling data from the DeepSeek infrastructure, specifically focusing on the training and inference framework utilized for AI workloads. It offers insights into communication-computation strategies and implementation specifics, which…
-
Scott Logic: There is more than one way to do GenAI
Source URL: https://blog.scottlogic.com/2025/02/20/there-is-more-than-one-way-to-do-genai.html Source: Scott Logic Title: There is more than one way to do GenAI Feedly Summary: AI doesn’t have to be brute forced requiring massive data centres. Europe isn’t necessarily behind in AI arms race. In fact, the UK and Europe’s constraints and focus on more than just economic return and speculation might…
-
Hacker News: Running DeepSeek R1 Models Locally on NPU
Source URL: https://blogs.windows.com/windowsdeveloper/2025/01/29/running-distilled-deepseek-r1-models-locally-on-copilot-pcs-powered-by-windows-copilot-runtime/ Source: Hacker News Title: Running DeepSeek R1 Models Locally on NPU Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses advancements in AI deployment on Copilot+ PCs, focusing on the release of NPU-optimized DeepSeek models for local AI application development. It highlights how these innovations, particularly through the use…
-
Simon Willison’s Weblog: Quoting Ben Thompson
Source URL: https://simonwillison.net/2025/Jan/28/ben-thompson/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Ben Thompson Feedly Summary: H100s were prohibited by the chip ban, but not H800s. Everyone assumed that training leading edge models required more interchip memory bandwidth, but that is exactly what DeepSeek optimized both their model structure and infrastructure around. Again, just to emphasize this point,…