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 fastml.com
Preparing continuous features for neural networks with GaussRank - FastML
| | sebastianraschka.com
Predictive modeling, supervised machine learning, and pattern classification
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| | I'm Sebastian: a machine learning & AI researcher, programmer, and author. As Staff Research Engineer Lightning AI, I focus on the intersection of AI research, software development, and large language models (LLMs).
| | engineering.zalando.com
Learnings from Distributed XGBoost on Amazon SageMaker
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| | What I learned from distributed training with XGBoost on Amazon SageMaker.
| | coornail.net
Teaching an AI to count
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| | Neural networks are a powerful tool in machine learning that can be trained to perform a wide range of tasks, from image classification to natural language processing. In this blog post, well explore how to teach a neural network to add together two numbers. You can also think about this article as a tutorial for tensorflow.
| | bdtechtalks.com
AI21 Labs' mission to make large language models get their facts right - TechTalks
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| AI21 Labs chief scientist Yoav Levine explains how retrieval augmented language modeling can solve one of the biggest problems of LLMs.