15 Best Wireless Earbuds, Tested and Reviewed (2024)
Ready to cut the cord? These are our favorite buds that will never, ever get tangled.
Detecting and Overcoming Perfect Multicollinearity in Large Datasets
One of the significant challenges statisticians and data scientists face is multicollinearity, particularly its most severe form, perfect multicollinearity. This issue often lurks undetected in large datasets with many features, potentially disguising itself and skewing the results of statistical models. In this post, we explore the methods for detecting, addressing, and refining models affected by …
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5 Emerging AI Technologies That Will Shape the Future of Machine Learning
Artificial intelligence is not just altering the way we interact with technology; it’s reshaping the very foundations of machine learning. As we stand on the brink of innovative breakthroughs, understanding emerging AI technologies becomes essential to grasp their profound implications on future applications and industries. This exploration is not merely academic—it’s a guide to influencing …
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How Vidmob is using generative AI to transform its creative data landscape
This post was co-written with Mickey Alon from Vidmob. Generative artificial intelligence (AI) can be vital for marketing because it enables the creation of personalized content and optimizes ad targeting with predictive analytics. Specifically, such data analysis can result in predicting trends and public sentiment while also personalizing customer journeys, ultimately leading to more effective …
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How few-shot learning with Google’s Prompt Poet can supercharge your LLMs
Prompt Poet allows you to ground LLM-generated responses to a real-world data context, opening up a new horizon of AI interactions.Read More
Boeing Starliner Returns Home to an Uncertain Future
NASA has three more operational Starliner missions on the books. It hasn’t decided whether it will commit to any more than that.
Tips for Effective Feature Selection in Machine Learning
When training a machine learning model, you may sometimes work with datasets with a large number of features. However, only a small subset of these features will actually be important for the model to make predictions. Which is why you need feature selection to identify these helpful features. This article covers useful tips for feature …
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Fixing information overload
Why we are building Tailor Information overload is the biggest issue of our time. We are building Tailor to fix that. I’ve talked with hundreds of folks from different backgrounds and cultures. I asked them how they consume news and information. Everyone told me some version of: I feel I can’t keep up with everything. I’m supposed …
AlphaProteo generates novel proteins for biology and health research
New AI system designs proteins that successfully bind to target molecules, with potential for advancing drug design, disease understanding and more.
Build powerful RAG pipelines with LlamaIndex and Amazon Bedrock
This post was co-written with Jerry Liu from LlamaIndex. Retrieval Augmented Generation (RAG) has emerged as a powerful technique for enhancing the capabilities of large language models (LLMs). By combining the vast knowledge stored in external data sources with the generative power of LLMs, RAG enables you to tackle complex tasks that require both knowledge …
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