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Storj announced a new era in distributed cloud innovation with the acquisition of Valdi. Storj is a leader in distributed cloud object storage, disrupting the $100 billion cloud storage market, delivering up to 90% cost savings and 90% less carbon emissions for customers. Valdi is the leader in on-demand high performance cloud computing (GPUs) widely used for AI training and inference in data-intensive industries like technology, research and life-sciences.
Introduction Imagine you’re standing at the edge of a dense forest, each path leading in a different direction, and your goal is to find the most promising route to a hidden treasure. This scenario mirrors the fascinating approach of Tree of Thoughts in AI prompt engineering. Just like you’d weigh various trails, the Tree of […] The post Implementing the Tree of Thoughts Method in AI appeared first on Analytics Vidhya.
Introduction By incorporating visual capabilities into the potent language model GPT-4, ChatGPT-4 Vision, or GPT-4V, signifies a noteworthy breakthrough in the field of artificial intelligence. With this improvement, the model can now process, comprehend, and produce visual content, making it a flexible tool suitable for various uses. The primary functions of ChatGPT-4 Vision, such as […] The post All About ChatGPT-4 Vision’s Image and Video Capabilities appeared first on Analytics Vidhya.
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
Author(s): Mélony Qin (aka cloudmelon) Originally published on Towards AI. Decoding NVIDIA’s AI + HPC and software + hardware innovation strategy NVIDIA’s relentless pursuit of innovation and excellence in AI and high-performance computing (HPC) is underpinned by several hidden assets that collectively fuel its billion-dollar AI vision. If you’ve been reading my blogs, you’d know that I always speak highly of NVIDIA for their greatness at building the art and science of hardware and software pla
Hundreds of thousands of southeast Texas residents are entering the sixth day in a row suffering brutal heat without air conditioning and many are scrambling to find cool shelters, food, safe drinking water and health care resources.
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Hundreds of thousands of southeast Texas residents are entering the sixth day in a row suffering brutal heat without air conditioning and many are scrambling to find cool shelters, food, safe drinking water and health care resources.
Last Updated on July 13, 2024 by Editorial Team Author(s): Jonathan Bennion Originally published on Towards AI. Image created by the author Another of the dirty little secrets of AI systems (and the hype surrounding their future) are ongoing prompt injection issues. Not a new security issue, yet we will be dealing with this in every tool out there! How I hacked through Priceline’s AI tool It only took 2 minutes (and I have confirmation Priceline is currently fixing this).
Author(s): Talib Originally published on Towards AI. I will start by describing why we need a vector search for RAG, and how vectors and vector databases work, and then focus on the Azure AI search. You might have used large language models like GPT-3.5, GPT-4o, or any of the other models, Mistral or Perplexity, and these large language models are awe-inspiring with what they can do and how much of a grasp they have of language.
The reward amounts on offer by the Google VRP have undergone a major overhaul: We're increasing reward amounts by up to 5x (with maximum rewards of up to $151,515)!
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.
Last Updated on July 13, 2024 by Editorial Team Author(s): Shenggang Li Originally published on Towards AI. Utilizing DDPG and SHAP for Pricing Strategies in RetailPhoto by Brooke Lark on Unsplash Retail pricing strategies are important for optimizing sales and profits. Effective pricing influences consumer behavior and maximizes revenue by considering demand, market conditions, and competition.
A flying-car-like vertical takeoff aircraft created by Joby Aviation has completed a first-of-its-kind, 523 mile test flight using hydrogen power. The aircraft, which reportedly left only a trail of water vapor in its wake, is being pitched as a more environmentally friendly alternative to traditional gas powered jets for mid-range, regional travel.
Last Updated on July 13, 2024 by Editorial Team Author(s): Serop Baghdadlian Originally published on Towards AI. Read 10x more relevant articles by building the most efficient system for tracking and organizing machine learning & engineering articles.Photo by Fujiphilm on Unsplash Have you ever felt that you’re not staying up to date with the latest innovations, architecture designs, and new tech in machine learning?
One of the towering figures in the evolution of computer science was Grace Hopper, an American mathematician, academic, and Naval reservist, whose work gave us the first programming languages, compile.
Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives
Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri
Last Updated on July 13, 2024 by Editorial Team Author(s): Lorentz Yeung Originally published on Towards AI. Picture generated by Dall-E. Two digital llamas racing against each other, one labeled ‘Gen 2’ and the other ‘Gen 3’ When beginning LLM operations, a key question is which model to use. As a fan of LLaMA models, I wondered if LLaMA 3 is necessarily better than LLaMA 2.
A smartphone’s unique Bluetooth fingerprint could be used to track the device’s user–until now. A team of researchers have developed a simple firmware update that can completely hide the Bluetooth fingerprint, eliminating the vulnerability.
Last Updated on July 13, 2024 by Editorial Team Author(s): John Loewen, PhD Originally published on Towards AI. Mapping historical shipwreck data from Harvard data set There are some terrific sources for data sets out there on the internet, including historical shipwreck data. One of the weekly updates I receive as part of expanding my knowledge on available datasets comes from Data is Plural: This site provides a weekly newsletter on interesting data sets.
Like millions of other irreverent young men, I would find my way to 4chan.org, which, like Hegel, was to later give birth to two formidable yet opposing political currents, and which, also like Hegel, was filled with nonsense, though in this case the nonsense was fully intended.
Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.
Author(s): Louis-François Bouchard Originally published on Towards AI. Efficient Strategies to Balance Convenience, Privacy, and Cost Note: this post was written by 3 ML & AI engineers behind the High Learning Rate newsletter. Let’s talk about an important topic: the privacy concern with large language models (LLMs). We (authors, 3 ML/AI engineers, and owners of the High Learning Rate newsletter) see a lot of clients taking overkill solutions because of privacy concerns.
It's been just over a year since Meta launched Threads, a microblogging platform built upon Instagram's foundation. While still in its infancy, the team has quickly added features that present itself as a viable alternative to its contemporaries, the most important being a TweetDeck-like desktop UI.
Author(s): Satyajit Chaudhuri Originally published on Towards AI. Introduction Imagine if you could forecast future trends with the same ease that language models understand text. Whether you’re predicting stock prices, healthcare demands, or optimizing logistics, accurate time-series forecasting is crucial. Traditional methods like ARIMA struggle with modern data complexities, but deep learning has shown promise.
Here’s a gem from the archive of the NY Times. One day in September 1976, NY Times food critic Mimi Sheraton and Colonel Harland Sanders stopped into a Manhattan Kentucky Fried Chicken.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
Author(s): Youssef Hosni Originally published on Towards AI. Stay Updated with Recent Large Language Models Research Large language models (LLMs) have advanced rapidly in recent years. As new generations of models are developed, researchers and engineers need to stay informed on the latest progress. This article summarizes some of the most important LLM papers published during the First Week of July 2024.
Author(s): Mazen Ahmed Originally published on Towards AI. AI in Early Disease DetectionImage by Author I find it deeply fascinating how the development of mathematics, in particular algorithms, has touched almost every facet of human innovation. As we enter the era of Artificial Intelligence (AI), over very short time periods, new uses of the technology are being discovered.
Jelly Star - The World's Smallest Android 13 Smartphone The New Star of Jelly Series with Transparent Design and LED Light. Still Small, Yet Powerful. Introducing Jelly Star Discover Jelly Star, an elegant tiny smartphone with a transparent back panel, dynamic LED lighting, and advanced features packed into a credit card sized body. Gallery 3-Inch Display Jelly Star features an ultra-compact design with a 3-inch screen, just the size of a credit card.
In the accounting world, staying ahead means embracing the tools that allow you to work smarter, not harder. Outdated processes and disconnected systems can hold your organization back, but the right technologies can help you streamline operations, boost productivity, and improve client delivery. Dive into the strategies and innovations transforming accounting practices.
Last Updated on July 14, 2024 by Editorial Team Author(s): Eram Khan Originally published on Towards AI. In this article I explore if it is actually possible to beat the blackjack dealer using strategic thought. Of course, the underlying idea here is to show the use of simulation and how a game can be modeled mathematically. (But please do feel to try out any of below mentioned strategies if interested!
This past spring, Richard Bernstein investigated the questions he’d been asking his whole career—about right, wrong, and what we owe one another—one last time.
Speaker: Chris Townsend, VP of Product Marketing, Wellspring
Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?
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