Precision at Scale: Domain-Specific Datasets On-Demand

Precision at Scale: Domain-Specific Datasets On-Demand

[Submitted on 3 Jul 2024] View a PDF of the paper titled Precision at Scale: Domain-Specific Datasets On-Demand, by Jes'us M Rodr'iguez-de-Vera and 4 other authors View PDF HTML (experimental) Abstract:In the realm of self-supervised learning (SSL), conventional wisdom has gravitated towards the utility of massive, general domain datasets for pretraining robust backbones. In this paper, we challenge this idea by exploring if it is possible to bridge the scale between general-domain datasets and (traditionally smaller) domain-specific datasets to reduce the current performance gap. More specifically, we propose Precision at Scale (PaS), a novel method for the autonomous creation of…
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Boolean Search: Harnessing AND, OR, and NOT Gates with Inverted Indexes – PyImageSearch

Boolean Search: Harnessing AND, OR, and NOT Gates with Inverted Indexes – PyImageSearch

Access the code to this tutorial and all other 500+ tutorials on PyImageSearch Enter your email address below to learn more about PyImageSearch University (including how you can download the source code to this post): What's included in PyImageSearch University? Easy access to the code, datasets, and pre-trained models for all 500+ tutorials on the PyImageSearch blog High-quality, well documented source code with line-by-line explanations (ensuring you know exactly what the code is doing) Jupyter Notebooks that are pre-configured to run in Google Colab with a single click Run all code examples in your web…
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Integrating Randomness in Large Language Models: A Linear Congruential Generator Approach for Generating Clinically Relevant Content

Integrating Randomness in Large Language Models: A Linear Congruential Generator Approach for Generating Clinically Relevant Content

arXiv:2407.03582v1 Announce Type: new Abstract: Generating diverse, high-quality outputs from language models is crucial for applications in education and content creation. Achieving true randomness and avoiding repetition remains a significant challenge. This study uses the Linear Congruential Generator method for systematic fact selection, combined with AI-powered content generation. We ensured unique combinations of gastrointestinal physiology and pathology facts across multiple rounds, integrating these facts into prompts for GPT-4o to create clinically relevant, vignette-style outputs. Over 14 rounds, 98 unique outputs were generated, demonstrating LCG's effectiveness in producing diverse and high-quality content. This method addresses key issues of randomness and repetition,…
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Add a custom Tailwind CSS class for reusability and speed

Add a custom Tailwind CSS class for reusability and speed

This article was originally published on Rails Designer This is another quick article about something I use in every (Rails) app. I often apply a few Tailwind CSS utility-classes to create smooth transitions for hover- or active-states. I use this one so often that I create a custom smoothTransition class. So instead of writing transition ease-in-out duration-200 I write smoothTransition. Much smoother! Typically you'd write a CSS selector within the @layer utilities directive, like so: @layer utilities { .smoothTransition { transition-property: all; transition-timing-function: ease-in-out; transition-duration: 200ms; } } Enter fullscreen mode Exit fullscreen mode And this would certainly work just…
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The Importance of Effectively Experimenting in an AI PhD • David Stutz

When working in AI, especially when doing an empirical PhD, the engineering required for effective experimentation is incredibly important. I procrastinated on writing this article for a while now, but it is getting more and more apparent these days when a large portion of research shifted to working with large foundation models. But even ~7 years ago, when I started my PhD, I quickly realized that running experiments effectively will be crucial. This is because effective experimentation means that research hypotheses can be tested quickly and provide insights into the next hypotheses to test. For example, my TPAMI paper on…
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Google’s Nonconsensual Explicit Images Problem Is Getting Worse

Google’s Nonconsensual Explicit Images Problem Is Getting Worse

In early 2022, two Google policy staffers met with a trio of women victimized by a scam that resulted in explicit videos of them circulating online—including via Google search results. The women were among the hundreds of young adults who responded to ads seeking swimsuit models only to be coerced into performing in sex videos distributed by the website GirlsDoPorn. The site shut down in 2020, and a producer, a bookkeeper, and a cameraman subsequently pleaded guilty to sex trafficking, but the videos kept popping up on Google search faster than the women could request removals.The women, joined by an…
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Best Open Source LLMs of 2024 (Costs, Performance, Latency)

Best Open Source LLMs of 2024 (Costs, Performance, Latency)

Large Language Models (LLMs) are changing how people interact with information, increasing global productivity and abruptly shifting markets. Companies have been leveraging this technology to integrate it into their products or business processes using third-party APIs, but the proof-of-concept era has ended. Now, it’s time to differentiate LLMs-powered products and provide added value to your customers.Open source models are the best way to achieve transparency and secure setups. When fed with proprietary data, there’s a clear differential competitive advantage. Fine-tuned LLMs are more adapted to the context they are intended to deal with by using high-quality data. With cloud platforms…
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Gen Zers don’t know how to flirt. Experts say it could make dating better.

Gen Zers don’t know how to flirt. Experts say it could make dating better.

Gen Zers have put their stamp on many things, but flirting doesn't seem to be one of them."I think flirting is dying," Nikki Sanjongco, a 24-year-old from Los Angeles, told NBC News' Daysia Tolentino."If someone thinks you're cute, they just ask for your Instagram these days and then DM you or swipe up on your story to show they're interested," Sanjongco said.Generation Z — those born between 1997 and 2012 —have grown up with the internet. Most of them don't remember a time before smartphones.For many, interacting with people online is as natural as doing it in person.That means that…
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