Also, check out the alphaXiv Chrome extension! It'll allow you to like papers directly within arXiv and take you to the corresponding community on alphaXiv!
CODE
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AI Augments Software Engineers for 5-10x Productivity Gains
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CEO of Augment Code (Series B, $252M raised) discusses future of software engineering and the importance of incremental gains from AI. “We're trying to augment software engineers to make their lives easier, to deliver a 5x or even a 10x productive software engineer.”
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Claude AI Models Ranked by Helpfulness for Various Tasks
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Claude 2: rewrote some emails for me, cleaned up grammar in docs. 1.5/10 helpful.
3 Opus: first model I felt I could intelligently talk with, helped with some small coding/scripting. 3/10 helpful.
3.5 Sonnet: started experimenting with end to end coding projects, maybe some life -
Open Source Projects, Conference Papers, and Top Kaggle Notebooks
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Something like an open source project, a conference paper (with code), a top Kaggle notebook
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New Email Client Built With Cursor and o1 Reaches 10k Signups
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We built a totally new email client with almost 10,000 signups in less than 3 months.
— Dan Shipper 📧 (@danshipper) 15 janvier 2025
Here's an inside look at how we did it, with Cursor, o1, and o1 Pro: pic.twitter.com/UPSrXZeCjeWe built a totally new email client with almost 10,000 signups in less than 3 months. Here's an inside look at how we did it, with Cursor, o1, and o1 Pro:
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Drupal Cache Bubbling: Automatic Caching Metadata Propagation
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Ovanes Budakyan talks @drupal cache bubbling, the automatic propagation of caching metadata — including tags, contexts, and max-age — from smaller components to larger containers in his latest installment https://
bit.ly/3DgevMo #drupal #opensource #foss -
Learning Image LoRA Tuning Through Practical Experimentation and Datasets
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my own learning from using tuners is that you learn by doing. like we know to some degree what will happen to the output of an image Lora depending on what params we change and we’ve found it to be more intuition than science. Also, dataset.
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GUI Setup for LoRA Trainer Tools
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Ok maybe it’ll setup a GUI for you like some of the Lora trainers
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From Traditional ML Training to ChatGPT-Based Model Development
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1. Paper w/math -> training code -> hyperparams + data -> model -> wrapper 2. Paper w/math -> chatGPT + data -> wrapper At what time point does 1 to 2 happen? (If at all)
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GPU Optimization Performance Comparison FP8 Quantization Testing
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Understood, testing now! I got your previous version working too and that seemed to be much faster on 2×3090 (fp8 part disabled) than the code above, not sure why yet…