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Domain: ghost.oxen.ai Added: 2025-10-26 Status: βœ“ Success
ghost.oxen.ai
How We Cut Inference Costs from $46K to $7.5K Fine-Tuning Qwen-Image-Edit Running quality inference at scale is something we think about a lot at Oxen.ai. It’s one thing to generate a handful of high-...
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Stretch iPhone to its Limit, a 2GiB Model that can Draw Everything in Your Pocket
https://liuliu.me/eyes/stretch-iphone-to-its-limit-a-2gib-model-that-can-draw-everything-in-your-pocket/
Every year, we have a new iPhone that claims to be faster and better in every way. And yes, these new computer vision models and new image sensors can...
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A Refined Training Recipe for Fine-Grained Visual Classification
https://towardsdatascience.com/a-refined-training-recipe-for-fine-grained-visual-classification/
1. The problem: We needed a system that could identify specific car models, not just β€œthis is a BMW,” but which BMW model and year. And it needed to r...
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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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Fine-tune your own Llama 2 to replace GPT-3.5/4
https://news.ycombinator.com/item?id=37484135
There has been a lot of interest on HN in fine-tuning open-source LLMs recently (eg. Anyscale's post at https://news.ycombinator.com/item?id=37090632)...
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Synthetic Data Generation Using the VLM-as-Judge Method
https://pyimagesearch.com/2025/08/18/synthetic-data-generation-using-the-vlm-as-judge-method/
Table of Contents - Synthetic Data Generation Using the VLM-as-Judge Method - Configuring Your Development Environment - Set Up and Imports - Download...
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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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2 Years of ML vs. 1 Month of Prompting
https://www.levs.fyi/blog/2-years-of-ml-vs-1-month-of-prompting/
2 Years of ML vs. 1 Month of Prompting November 7, 2025 Recalls at major automakers cost hundreds of millions of dollars a year. It’s a huge issue. To...
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How We Saved $500,000 Per Year by Rolling Our Own β€œS3”
https://engineering.nanit.com/how-we-saved-500-000-per-year-by-rolling-our-own-s3-6caec1ee1143
How We Saved $500,000 Per Year by Rolling Our Own β€œS3” tl;dr We used S3 as a landing zone for Nanit’s video processing pipeline (baby sleep-state infe...
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Synthetic Data Generation Using the BLIP and PaliGemma Models
https://pyimagesearch.com/2025/08/11/synthetic-data-generation-using-the-blip-and-paligemma-models/
Table of Contents Synthetic Data Generation Using the BLIP and PaliGemma Models In this tutorial, we embark on the first part of a two-part series whe...
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Use your own customized open-source Large Language Model
https://pub.towardsai.net/use-your-own-customized-open-source-large-language-model-81d0999ef59b?source=rss----98111c9905da---4
Use your own customized open-source Large Language Model You’ve built it. Now unleash it. You already fine-tuned a model (great!). Now it’s time to us...
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