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LoRA Learns Less and Forgets Less

Hacker News

Our results show that, in most settings, LoRA substantially underperforms full finetuning. We show that LoRA provides stronger regularization compared to common techniques such as weight decay and dropout; it also helps maintain more diverse generations. We conclude by proposing best practices for finetuning with LoRA.

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Calendar types in watches

Hacker News

Mechanical watches that can show a date correctly are pretty rare, and the ones that do are very expensive (starting at $10k). Let me explain.

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Understanding, Using, and Finetuning Gemma

Hacker News

This Studio explains shows you how to use Gemma through Lit-GPT and explains some of the unique design choices of Gemma compared to other LLMs. Gemma is Google’s latest open-weight LLM.

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Using Django Framework For Making Exciting Data Science Projects – An Example Use Case

Analytics Vidhya

Introduction In this article, I will explain to you how will we use Django Framework for creating some really exciting data science projects in Windows Machine. I will show you the complete procedure to create a website and also integrate a machine learning […]. This article was published as a part of the Data Science Blogathon.

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How to Package and Price Embedded Analytics

This framework explains how application enhancements can extend your product offerings. Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? Brought to you by Logi Analytics.

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Show HN: Postgres query lock explainer

Hacker News

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Understanding bridge-based ranking

Hacker News

The most successful implementation of Bridge-Based Ranking, X’s Community Notes, explains that the algorithm favors notes that are rated highly by users across a “diversity of perspectives” But as I show in this article, ratings from users with diverse perspectives are not necessary for a note to rank highly.

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