This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
In this feature article, Daniel D. Gutierrez, insideAInews Editor-in-Chief & Resident Data Scientist, explores why mathematics is so integral to data science and machine learning, with a special focus on the areas most crucial for these disciplines, including the foundation needed to understand generative AI.
OpenAI Orion, the company’s next-generation AI model, is hitting performance walls that expose limitations in traditional scaling approaches. Sources familiar with the matter reveal that Orion is delivering smaller performance gains than its predecessors, prompting OpenAI to rethink its development strategy. Early testing reveals plateauing improvements Initial employee testing indicates that OpenAI Orion achieved GPT-4 level performance after completing only 20% of its training.
Chatbots have evolved exponentially with developments in artificial intelligence (AI). Now, with the onset of AI agents, they have become capable of handling more complex and layered interactions, far beyond traditional conversational limits. In our previous article on Building Multi-Agent Chatbots with AutoGen, we explored the concept of sequential chat using AutoGen, which allows structured, […] The post 4 Steps to Build Multi-Agent Nested Chats with AutoGen appeared first on Analytics V
Gemini 2.0 leaked this week, sparking anticipation for Google’s latest AI model release. TestingCatalog identified a model titled Gemini-2.0-Pro-Exp-0111 on the Gemini web app, available only to select users under the Gemini Advanced section. This discovery has heightened speculation about Gemini 2.0’s potential capabilities and suggests Google may be gearing up for a public launch soon.
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.
Customer support calls hold a wealth of information, but finding the time to manually comb through these recordings for insights isn’t easy. Imagine if you could instantly turn these long recordings into clear summaries, track how the sentiment shifts throughout the call, and even get tailored insights based on how you want to analyze the […] The post Building an AI-Powered Tool for Customer Call Analysis appeared first on Analytics Vidhya.
Alteryx, Inc., a leader in automated and AI analytics, today announced its Fall 2024 release for the Alteryx platform. The latest update supports hybrid architectures and meets customers where they are—whether in the cloud or on premises. Alteryx’s Fall 2024 release provides business analysts with a seamless analytics experience that scales data-driven insights across departments and industries.
Jasper, one of the earlier players in generative AI marketing tech, has developed new ways to give marketers more control over AI-created content. Today, the Austin-based startup is adding several new features to give marketers more control and consistency when creating and scaling AI-generated content. One new feature, Brand IQ, uses API-based tooling to let marketers embed brand guidelines into an AI model for consistent text and visual outputs.
Jasper, one of the earlier players in generative AI marketing tech, has developed new ways to give marketers more control over AI-created content. Today, the Austin-based startup is adding several new features to give marketers more control and consistency when creating and scaling AI-generated content. One new feature, Brand IQ, uses API-based tooling to let marketers embed brand guidelines into an AI model for consistent text and visual outputs.
Apple is making its first foray into the smart home camera market, with plans to release a security camera in 2026. This upcoming launch aims to reshape home security by offering seamless integration with Apple’s ecosystem, bringing privacy and advanced connectivity into focus. Apple’s smart home camera could profoundly impact the current $7 billion home security camera industry, as Kuo notes , by delivering a device that works flawlessly with Apple devices like the iPhone, Apple Watch, and Appl
In this blog post, we demonstrate prompt engineering techniques to generate accurate and relevant analysis of tabular data using industry-specific language. This is done by providing large language models (LLMs) in-context sample data with features and labels in the prompt. The results are similar to fine-tuning LLMs without the complexities of fine-tuning models.
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 November 12, 2024 by Editorial Team Author(s): Prachi Tewari Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Now that AI is transforming nearly every industry, healthcare stands out as a field with immense potential — and unique risks. A single AI-generated error here could lead to serious consequences for patient health.
Digital-first businesses are managing an overwhelming amount of data, and many are struggling to make sense of it all and turn it into meaningful and actionable insights. Customers want fast and more personalized experiences at their fingertips, and real-time analytics is a key tool that companies can use to deliver tailored and responsive user experiences […] The post How Organizations Can Overcome Barriers to Leveraging Real-Time Data appeared first on DATAVERSITY.
Author(s): Isuru Lakshan Ekanayaka Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. image source Large Language Models (LLMs) like GPT-4 have revolutionized the field of NLP, demonstrating remarkable capabilities in generating human-like text, answering questions, and performing various language-related tasks.
The healthcare landscape is changing fast thanks to the introduction of artificial intelligence. These technologies have shifted decision-making power away from nurses and on to the robots. Michael Kennedy, who works as a neuro-intensive care nurse in San Diego, believes AI could destroy nurses’ intuition, skills, and training.
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
The most recent wave of artificial intelligence (AI), spearheaded by the advent and mass adoption of large language models (LLM), showed the potential.
Between vacation, end-of-year projects, the coming holidays, and other hysteria, I haven’t come up with an article this month. So here’s a quick list of things that have amazed me recently. Are we virtual yet? I’m far from the first person to find NotebookLM amazing, and I certainly won’t be the last. I did a simple experiment: I pointed it at two of my recent posts, “ Think Better ” and “ Henry Ford Does AI.
It was dinnertime on October 30, 2024, when police handcuffed Brittany Patterson in front of three of her four children and drove her to the station in
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.
Ubisoft is facing a lawsuit over its recent decision to shut down the servers of The Crew , leaving players unable to access the game they believed they owned. Two Californian gamers have filed a class action lawsuit, arguing that the server shutdown has rendered their purchased physical copies of the game useless. The lawsuit, filed on November 4, 2024, alleges that Ubisoft misled players about the nature of their ownership.
Roll out the red carpet. Starting today, anyone in Los Angeles can take fully autonomous rides 24/7 with Waymo One â rolling through Santa Monica, Hollywood Boulevard, USC, and everything in between.
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
Alibaba Cloud has released Qwen2.5-Coder, a new AI coding assistant that has already become the second most popular demo on Hugging Face Spaces. Early tests suggest its performance rivals GPT-4o, and it’s available to developers at no cost. The release includes six model variants, from 0.
A DNA testing company that promised clients insights into their genetic disposition has suddenly disappeared. The BBC reports it tried several methods to reach the company but failed in this effort. London offices are closed, nobody answers the phone, and clients are no longer capable of accessing their online records. All the company’s social media accounts haven’t been updated since 2023 at the latest.
OpenAI co-founder Greg Brockman has returned to the artificial intelligence startup three months after taking a leave from his role as president, bringing a key figure back to the C-suite amid an exodus of top executives.
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.
Generative AI and new rules targeting tech giants are giving Ecosia and Qwant fuel to challenge Google and Microsoft and develop a web index for Europe.
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?
Input your email to sign up, or if you already have an account, log in here!
Enter your email address to reset your password. A temporary password will be e‑mailed to you.
We organize all of the trending information in your field so you don't have to. Join 17,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content