What transitioning into data science and the triwizard tournament have in common, and other key takeaways from this popular book on data science career advice. #DataScience #ArtificialIntelligence hubs.li/Q01Z4YFb0

Several political, economic, and environmental issues about data centers are controversial. Data scientists and business leaders should consider these before investing. #DataScience #ArtificialIntelligence hubs.li/Q01Z55f60

In a new lawsuit, Google is facing accusations of misusing personal data to train its large language models that power its AI products. #DataScience #ArtificialIntelligence hubs.li/Q01Z51Zx0

A neuroscience expert is arguing that there is an "urgent" need to develop a system of digital self-defense against AI called neuroshield. #DataScience #ArtificialIntelligence hubs.li/Q01-4WdG0

Georgia Tech and Hanoi University of Science & Technology propose using a method powered by AI to identify potential superconductors faster. #DataScience #ArtificialIntelligence hubs.li/Q01-4QFK0

Researchers from the University of Ottawa and the University of Hawaii are working together to unlock AI's potential in combating wildfires. #DataScience #ArtificialIntelligence hubs.li/Q01-4Vv-0

In this brief tutorial, you'll learn some basics on how to use Spark on AWS for machine learning, MLlib, and more. #DataScience #ArtificialIntelligence hubs.li/Q01-4Vw00

This article delves into the transformative power of artificial intelligence (AI) across a broad spectrum of industries, including retail, e-commerce, fintech, and power systems. #DataScience #ArtificialIntelligence hubs.li/Q01-4T550

Google's RT-2 model promises to bridge the gap between robots and human controls, aiding through adaption and learning. #DataScience #ArtificialIntelligence hubs.li/Q01-4YNJ0

Streaming giant Netflix has listed a new AI-focused position with a high range of $900,000 as the writer's strike continues. #DataScience #ArtificialIntelligence hubs.li/Q01-4R280

In the era of large language models, how we approach MLOps may be a bit different than usual. Here's how. #DataScience #ArtificialIntelligence hubs.li/Q01-GTx80

The latest wave of innovation around large language models (LLMs), such as ChatGPT and GPT-4, is rapidly transforming the world of bot building. Here's how. #DataScience #ArtificialIntelligence hubs.li/Q01-G_y60

This blog post presents how two open-source frameworks, Alpa and Ray, closely integrate to achieve the scale to train a 175B parameter OPT-175B model. #DataScience #ArtificialIntelligence hubs.li/Q01-GWx70

Here, we examine trends driving the intersection of edge ML and the increased need for running ML anywhere. hubs.li/Q01-GXv30

Weather forecasting is very reliant on computer technology to perform accurately. Here's a bit more on the science behind AI weather prediction. hubs.li/Q01-G-kB0

Everyone is talking about ChatGPT. But without a vector database, generative AI will not achieve the goal of truly human-like intelligence. hubs.li/Q01-G-Sj0

In this blog, we will provide a quick overview of media mix modeling and how you can get started with it. hubs.li/Q01-G_SN0

Important read. AI safety alignment of LLMs can be compromised relatively easily through fine-tuning AI safety aligned LLMs like GPT-3.5 Turbo and Llama-2 on harmful datasets results in significant increases in harmfulness scores hubs.li/Q028zrwr0

Good article in the FT on how generative AI is having a impact on white-collar jobs with some being automated and others being enhanced. Concerns about job automation are valid but opportunities for AI to make jobs more productive exsit hubs.li/Q028zxKS0

Augmented analytics uses AI and automation to make business intelligence faster, more accurate, and more practical. Explore five ways you can implement this technology to improve your data-driven decision-making. hubs.li/Q02ldClh0 #DataScience #AI #ArtificialIntelligence