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Domain: thinkingmachines.ai Added: 2025-09-10 Status: βœ“ Success
thinkingmachines.ai
Defeating Nondeterminism in LLM Inference Reproducibility is a bedrock of scientific progress. However, it’s remarkably difficult to get reproducible results out of large language models. For example,...
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Why DeepSeek is cheap at scale but expensive to run locally
https://www.seangoedecke.com/inference-batching-and-deepseek/
Why DeepSeek is cheap at scale but expensive to run locally Why is DeepSeek-V3 supposedly fast and cheap to serve at scale, but too slow and expensive...
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https://openai.com/index/techniques-for-training-large-neural-networks/
https://openai.com/index/techniques-for-training-large-neural-networks/
Techniques for training large neural networks Large neural networks are at the core of many recent advances in AI, but training them is a difficult en...
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The Principles of Deep Learning Theory (arxiv.org)
https://news.ycombinator.com/item?id=31051540
First, thanks to the publisher and authors for making this freely available! I retired recently after using neural networks since the 1980s. I still s...
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TimesFM: Time Series Foundation Model for time-series forecasting (github.com/google-research)
https://news.ycombinator.com/item?id=40297946
I'm curious why we seem convinced that this is a task that is possible or something worthy of investigation. I've worked on language models since 2018...
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Writing an LLM from scratch, part 22 -- finally training our LLM!
https://www.gilesthomas.com/2025/10/llm-from-scratch-22-finally-training-our-llm
Writing an LLM from scratch, part 22 -- finally training our LLM! This post wraps up my notes on chapter 5 of Sebastian Raschka's book "Build a Large ...
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Extract-0: A specialized language model for document information extraction
https://news.ycombinator.com/item?id=45427634
> the generation of 281,128 augmented examples, from which 1,000 were held out as a benchmark test set. This model is trained on a custom dataset of 2...
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My Python code is a neural network (gabornyeki.com)
https://news.ycombinator.com/item?id=40845304
This article doesn't talk much about testing or getting training data. It seems like that part is key. For code that you think you understand, it's be...
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The Bitter Lesson is Misunderstood
https://obviouslywrong.substack.com/p/the-bitter-lesson-is-misunderstood
The Bitter Lesson is Misunderstood Together, the Bitter Lesson and Scaling Laws reveal that the god of Compute we worship is yoked to an even greater ...
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Are GPUs Worth It for ML? (exafunction.com)
https://news.ycombinator.com/item?id=32641769
For some reason they focus on the inference, which is the computationally cheap part. If you're working on ML (as opposed to deploying someone else's ...
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Building with Humility
https://www.matroid.com/building-with-humility/
Building with Humility John Goddard | July 31st, 2025 How a product can get it right when machine learning gets it wrong Introduction Silicon Valley i...
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