https://magazine.sebastianraschka.com/p/understanding-reasoning-llms Understanding Reasoning LLMsSebastian Raschka, PhDFeb 05, 2025 “This article describes the four main approaches to building reasoning models, or how we can enhance LLMs with reasoning capabilities.”
What I Read: Replacements
https://tech.instacart.com/how-instacart-uses-machine-learning-to-suggest-replacements-for-out-of-stock-products-8f80d03bb5af?gi=a743b3b54c9f How Instacart Uses Machine Learning to Suggest Replacements for Out-of-Stock ProductsAhsaas BajajNov 7, 2024 “You’ve carefully chosen each item, but then you’re notified that some products might not be
What I Read: AI Engineers, Search
https://softwaredoug.com/blog/2024/06/25/what-ai-engineers-need-to-know-search What AI Engineers Should Know about SearchDoug TurnbullJune 25th, 2024 “Things AI Engineers Should Know about Search”
What I Read: Dataset Distillation
https://ai.googleblog.com/2021/12/training-machine-learning-models-more.html Training Machine Learning Models More Efficiently with Dataset DistillationWednesday, December 15, 2021Posted by Timothy Nguyen1, Research Engineer and Jaehoon Lee, Senior Research Scientist, Google Research“For a machine learning (ML)
What I Read: Better computer vision models, Transformers, CNNs
https://ai.facebook.com/blog/computer-vision-combining-transformers-and-convolutional-neural-networks/ Better computer vision models by combining Transformers and convolutional neural networksJuly 8, 2021 “We’ve developed a new computer vision model… which combines… convolutional neural networks (CNNs) and Transformer-based models…