TOPBOTS

TOPBOTS is a strategy & research firm in applied artificial intelligence & machine learning. We help enterprises implement their #AI #ML #automation strategy.

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Thrilled to share that the 2nd edition of "Applied AI: A Handbook for Business Leaders" is out now! 🚀 We've delved deeper into generative AI and LLMs, uncovering how these advances are reshaping the business world. 📚 #AppliedAI #GenerativeAI #LLM
https://t.co/ZS3Cl1lgzs

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Plus, grab a FREE Kindle copy during our limited-time promo! Don't miss out!
https://t.co/0zOfqoDz5J

[TOPBOTS @topbots]

Thrilled to share that the 2nd edition of "Applied AI: A Handbook for Business Leaders" is out now! 🚀 We've delved deeper into generative AI and LLMs, uncovering how these advances are reshaping the business world. 📚 #AppliedAI #GenerativeAI #LLM
https://t.co/ZS3Cl1lgzs

[TOPBOTS @topbots]

🚀 Discover the power and potential of open-source projects in #GenerativeAI! Learn about key players like Hugging Face and Stability AI, immense benefits they offer, and corresponding safety risks.
https://t.co/aGuQCMoB6F

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Dive into the world of #DiffusionModels with our latest article! We've distilled the essence of 6 groundbreaking research papers, including Stable Diffusion, DALL-E 2, and ControlNet. #deeplearning #AIresearch #GenerativeAI
https://t.co/S1KvFWP6HR

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Explore state-of-the-art NLP language models in our newest article, featuring BERT, GPT-3, LaMDA, PaLM, LLaMA, and GPT-4. Gain insights into their architecture, training methods, and applications in AI. #DeepLearning #NLP #AI #LLMs
https://t.co/6n3RDbBJir

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Use this methodology (1) to find the best solution instead of executing the first idea that crosses your mind; (2) to minimize (and enable) the delivery time of complex research projects in data science.
https://t.co/fYG6yHGVBH
#Research #AI #ML #MachineLearning

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We all love big language models, but there are some dark sides we should be aware of. Here's an overview showing that BERT and GPT-2 can generate hurtful statements – not only in English but across different languages.
@federicobianchy
https://t.co/iKmMplhY2k
#ML #BERT #NLP #AI

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When we do online experiments or A/B testing, we need to ensure our test has high statistical power so that we can find the experimental effect if it does exist. In this article, will walk you through several popular variance reduction methods.
https://t.co/vm7SXMZsaa
#ABTesting

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Can we make GANs using Vision Transformers? In this article,
@DavideCoccomini investigates the creative side of Vision Transformers with two different model architectures: TransGAN and Paint Transformer.
https://t.co/5NAy21DeAh
#ML #MachineLearning #AI #ComputerVIsion

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What if you need to analyze an SQL database consisting of 500+ tables? Check this article to see how to build a tool in which you can apply various filters and then view the filtered tables in an easy-to-grasp visual representation.
https://t.co/vmmesm0lNR
#AI #NetworkGraphs #ML

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When combining multiple models into a group model, you get an ensemble model that usually performs better than each model alone. See this article for Python implementations of such popular ensemble methods as voting, bagging, boosting, and stacking.
https://t.co/8qtsqPx4rZ
#AI

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Survival analysis can be applied in medicine as patients’ survival time analysis, in engineering as reliability analysis or time-to-failure analysis, and in economics as duration analysis. Read this practical guide by Idil Izmiguzel.
https://t.co/GYQ3vJLBSU
#AI #Python #ML

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The question we ask the A/B test is “which version is better?”. Except for the traditional Frequentist framework, Bayesian framework can also answer this question and is gaining more and more popularity in the online industries.
https://t.co/T5hYgu7fB5
#AI #ML #ABtesting

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In this article, Itamar Faran gives a short overview of the statistical models behind Bayesian A/B tests, and presents the ways to implement them.
https://t.co/qEXrOXWQ7B
#AI #MachineLearning #Bayesian #ML #ABtesting

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Varshita Sher shares a few tips for writing cleaner code in Python. Including these tips as part of your everyday coding routine will help you generate supreme quality Python scripts, that are easily maintainable and scalable over time.
https://t.co/QO4Rlcpv6G
#ML #Python #AI

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Follow this tutorial by Varshita Sher to build a facial identification system that will verify if an image, generally known as a probe image, exists within a pre-existing database of faces, generally known as the evaluation set.
https://t.co/emG1L9vNU6
#ML #FaceRecognition #AI

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Vision Transformers can achieve better results than other methods. @DavideCoccomini shows that realising self-supervised approaches for Vision Transformers may be a possible way to making these models not only powerful but also easier to apply.
https://t.co/cWFNIM12QR
#ML #AI

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Are you interested to know how AI is applied to count penguins from space? Or prevent substance abuse, predict pandemics, analyze people's mental health? @MatthewPStewart introduces the reader to the nascent research field of AI for Social Good.
https://t.co/uMCkhqcrbu
#AI4SG #AI

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In this tutorial, Florent Poux features some of the top approaches to 3D point cloud segmentation:
✅ RANSAC or RANdom SAmple Consensus
✅ Euclidean Clustering through DBSCAN or Density-Based Spatial Clustering of Applications w/ Noise
https://t.co/ufHN1FQojd
@GeoVast3D
#AI #ML

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Isn’t there a way to get the best out of both Convolutional Neural Networks and Vision Transformers? @DavideCoccomini shows how these two architectures can be combined to obtain something capable of exploiting the positive sides of both!
https://t.co/nMDEllTsRA
#ML #Transformers