Sat.Oct 07, 2023

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Microsoft’s Quest for the Next Killer App

insideBIGDATA

In this contributed article, Gordon McKenna, VP of Cloud Evangelist & Alliances at Ensono, discusses the situation with Microsoft strongly backing OpenAI, what can we expect the future to look like? Microsoft’s investment into OpenAI was a clear move for the company to align itself with the next killer app that would drive engagement on Azure cloud.

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Unlocking Creativity with Advanced Transformers in Generative AI

Analytics Vidhya

Introduction In the ever-evolving landscape of artificial intelligence, one name has stood out prominently in recent years: transformers. These powerful models have transformed the way we approach generative tasks in AI, pushing the boundaries of what machines can create and imagine. In this article, we will delve into the advanced applications of transformers in generative […] The post Unlocking Creativity with Advanced Transformers in Generative AI appeared first on Analytics Vidhya.

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The big AI and robotics concept that has attracted both Walmart and Softbank

Flipboard

Symbotic is an AI-powered warehouse technology that has deals with Walmart, Target and Albertsons. Its stock is up a lot, and Walmart is a big shareholder.

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Wie man Web Scraping fĂĽr den Vertrieb nutzt

Data Science Blog

Vertrieb in Unternehmen ist wie der Motor, der eine Maschine antreibt. Nur wenn Produkte verkauft werden und neue Kunden sich für ein Unternehmen begeistern, kann der nötige Cashflow generiert werden, der Gebäude, Löhne und alle anderen Kosten rund um das Unternehmen tragen kann. Wie man diesen Bereich eines Unternehmens mit Data Mining und Web Scraping aktiv unterstützen kann, zeige ich euch in diesem Artikel.

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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AI hallucinations and can influence search results and other AI, creating a dangerous feedback loop

Flipboard

While attempting to cite examples of false information from hallucinating AI chatbots, a researcher inadvertently caused another chatbot to hallucinate by influencing ranked search results. The incident reveals the need for further safeguards as AI-enhanced search engines proliferate.

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Can AI Help Make Social Media Healthier?

Smart Data Collective

We are continually surprised by all of the ways that AI technology is affecting our lives. One of the biggest changes is that artificial intelligence is helping change the state of social media. We are already aware of the fact that social media companies like Facebook are using AI to improve their products. Meta is using Facebook data to train its algorithms for a variety of purposes , including identifying harmful content to make the platform more holistic.

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The Role of AI Technology in Tracing People

Smart Data Collective

AI technology has had a huge impact on our everyday lives. The daily articles we are seeing about the changes brought on by ChatGPT are clear evidence of the changes it has created. One of the most overlooked benefits of AI is that it is helping make it easier to do backgrounds checks and trace people. This is going to make it a lot easier to find people in the years to come.

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Top AI Adventure: OpenAI Residency

Towards AI

Last Updated on October 9, 2023 by Editorial Team Author(s): Cezary Gesikowski Originally published on Towards AI. Calling Rising AI Stars — Dive. Discover. Disrupt. This member-only story is on us. Upgrade to access all of Medium. At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. — OpenAI Residency Website image by the author via Stable Diffusion XL in PlaygroundAI Ever dreamt of rubb

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Six Reasons Why AI Doesn't Conquer Creativity

Flipboard

• AI is a powerful tool, but human expertise is essential to unlock its true potential.

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The 12 Core Principles of AI Governance

Towards AI

Last Updated on October 9, 2023 by Editorial Team Author(s): Lye Jia Jun Originally published on Towards AI. Balancing Ethics and Innovation: An Introduction to the Guiding Principles of Responsible AI Sarah, a seasoned AI developer, found herself at a moral crossroads. One algorithm could maximize efficiency but at the cost of privacy. The other safeguards personal data but lacks speed.

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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The anatomy of a smart bulb

Hacker News

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Genetic Algorithms in C++

Mlearning.ai

Much of this post is based on Machine Learning: An Algorithmic Perspective by Stephen Marsland. This book offers easy-to-follow and… Continue reading on MLearning.

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Workloads on Arm-based AWS instances

Hacker News

Some words, some code.

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How to Clean Data in Data Preprocessing: Methods and Examples

Mlearning.ai

Cleaning Data in Machine Learning is a piece of cake! Continue reading on MLearning.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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Evaluate and Trace with LangSmith: Mastering LLM Optimization

Data Science Dojo

In this blog, we delve into Large Language Model Evaluation and Tracing with LangSmith, emphasizing their pivotal role in ensuring application reliability and performance. You’ll learn to set up LangSmith, connect it with LangChain, and master the process of precise tracing and evaluation, equipping you with the tools to optimize your Large Language Model applications and bring them to production.

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Unraveling the Speed Disparity: Why Python Lags Behind Java and C++

Mlearning.ai

In the landscape of programming languages, Python’s simplicity and readability have earned it a cherished spot among beginners and seasoned developers alike. However, one common criticism lodged against Python is its execution speed, which often lags behind compiled languages like Java and C++. This article will delve into the technical aspects underlying this speed disparity, including memory management, runtime optimization, and others.

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SageMaker JumpStart: start experimenting with large language models in minutes!

Julien Simon

Experimenting with the latest and greatest models doesn’t have to be difficult. With SageMaker JumpStart , you can easily access and experiment with cutting-edge large language models without the hassle of setting up complex infrastructure or writing deployment code. All it takes is a single click. In this particular video, I walk you through the process of deploying and testing the Mistral AI 7B model as an example.

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