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
You can find useful datasets on countless platforms—Kaggle, Paperwithcode, GitHub, and more. But what if I tell you there’s a goldmine: a repository packed with over 400+ datasets, meticulously categorised across five essential dimensions—Pre-training Corpora, Fine-tuning Instruction Datasets, Preference Datasets, Evaluation Datasets, and Traditional NLP Datasets and more?
A friend sent me an advertisement for AI-generated headshots recently, and I was surprised by how good the images looked. It got me thinking about the future of headshot photography. The images in the advertisement were much better than any I have seen so far, which is to be expected. The question many of us continue to ask is, should we as photographers be worried?
Stability.ai has unveiled Stable Diffusion 3.5, featuring multiple variants: Stable Diffusion 3.5 Large, Large Turbo, and Medium. These models are customizable and can run on consumer hardware. Let’s explore these models, learn how to access them, and use them for inference to see what Stable Diffusion brings to the table this time around. Overview Stable […] The post How to Access Stable Diffusion 3.5?
Last Updated on November 9, 2024 by Editorial Team Author(s): Kamran Khan Originally published on Towards AI. Apple’s Take on AI This member-only story is on us. Upgrade to access all of Medium. Photo by Solen Feyissa on Unsplash Apple officially weighed in on the subject of artificial intelligence, and its stance was rather sobering-even for an industry having a big-meeting-of-the-minds moment on AI as the future.
Start building the AI workforce of the future with our comprehensive guide to creating an AI-first contact center. Learn how Conversational and Generative AI can transform traditional operations into scalable, efficient, and customer-centric experiences. What is AI-First? Transition from outdated, human-first strategies to an AI-driven approach that enhances customer engagement and operational efficiency.
Author(s): Julia Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Everybody’s talking about AI, but how many of those who claim to be “experts” can actually break down the math behind it? It’s easy to get lost in the buzzwords and headlines, but the truth is — without a solid understanding of the equations and theories driving these technologies, you’re only skimming the surface.
Author(s): Julia Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Everybody’s talking about AI, but how many of those who claim to be “experts” can actually break down the math behind it? It’s easy to get lost in the buzzwords and headlines, but the truth is — without a solid understanding of the equations and theories driving these technologies, you’re only skimming the surface.
Most companies are starting to figure out how artificial intelligence will change the way they do business. CheggCHGG0.00%increase; green up pointing triangle is trying to avoid becoming its first major victim.
The rapid scaling of diffusion models has led to memory usage and latency challenges, hindering their deployment, particularly in resource-constrained environments. Such models have manifested impressive ability in rendering highly-fidelity images but are demanding in both memory and computation, which limits their availability in consumer-grade devices and applications that require low latencies.
ChatGPT is an amazing tool, and its developer, OpenAI, keeps adding new features from time to time. Recently, the company introduced a new memory feature in ChatGPT, which essentially enables it to remember things about you.
It’s very crucial to protect privacy and be safe when using platforms like Apple TV to access information. Virtual Private Networks (VPNs) offer a dependable solution that circumvents geo-restrictions and protects sensitive data. In this article, the top ten VPNs for Apple TV are discussed, and their speed, security features, and compatibility with well-known streaming providers are assessed.
Today’s buyers expect more than generic outreach–they want relevant, personalized interactions that address their specific needs. For sales teams managing hundreds or thousands of prospects, however, delivering this level of personalization without automation is nearly impossible. The key is integrating AI in a way that enhances customer engagement rather than making it feel robotic.
In today’s column, I closely explore the rapidly emerging advancement of large behavior models (LBMs) that are becoming the go-to for creating AI that runs robots and robotic systems. You might not be familiar with LBMs. No worries.
In an exciting update for developers, Google has launched Gemini, a new AI model that promises to be more accessible and developer-friendly. Gemini, designed to rival models like OpenAI’s GPT-4, has been made easier to access and integrate into various applications, thanks to Google’s recent initiatives. If you’re a developer exploring powerful alternatives or complementary tools to OpenAI, here’s why Gemini might be the right fit.
Adam is widely used in deep learning as an adaptive optimization algorithm, but it struggles with convergence unless the hyperparameter β2 is adjusted based on the specific problem. Attempts to fix this, like AMSGrad, require the impractical assumption of uniformly bounded gradient noise, which doesn’t hold in cases with Gaussian noise, as seen in variational autoencoders and diffusion models.
The guide for revolutionizing the customer experience and operational efficiency This eBook serves as your comprehensive guide to: AI Agents for your Business: Discover how AI Agents can handle high-volume, low-complexity tasks, reducing the workload on human agents while providing 24/7 multilingual support. Enhanced Customer Interaction: Learn how the combination of Conversational AI and Generative AI enables AI Agents to offer natural, contextually relevant interactions to improve customer exp
The rise of generative artificial intelligence has led to concerns about how misinformation created using the technology could affect the numerous elections in 2024. OpenAI estimates that ChatGPT rejected more than 250,000 requests to generate images of the 2024 U.S.
As the language models are improving, their adoption is growing in more complex tasks such as free-form question answering or summarization. On the other hand, the more demanding the task – the higher the risk of LLM hallucinations. In this article, you’ll find: what the problem with hallucination is, which techniques we use to reduce them, how to measure hallucinations using methods such as LLM-as-a-judge tips and tricks from my experience as an experienced data scientist.
Python, a versatile programming language, offers many tools to manipulate data structures efficiently. One such powerful tool is the filter() function, which allows you to filter elements from an iterable based on a specific condition. This function is invaluable for data cleaning, transformation, and analysis tasks. Here, we present ten methods to use the Python Filter list and the sample Python code to filter even numbers from a list.
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
250,000 asked for deepfakes of top of the ticket candidates. Now that the 2024 presidential election has come and gone, OpenAI revealed on Friday just how much voters consulted ChatGPT. Ahead of the election, OpenAI took steps to stop the spread of election misinformation on the platform.
Microsoft Paint, the nostalgic art tool that has been a part of countless childhood memories, is stepping boldly into the future. Microsoft has announced that the beloved drawing application is getting an impressive AI makeover , integrating features that make it easier than ever to create stunning digital art. These new features promise to turn even the most inexperienced artist into a creative powerhouse.
Each week, Quartz rounds up product launches, updates, and funding news from artificial intelligence-focused startups and companies. Here’s what’s going on this week in the ever-evolving AI industry.
In recent years, Automatic Speech Recognition (ASR) technology has gained significant traction, transforming industries ranging from healthcare to customer support. However, achieving accurate transcription across diverse languages, accents, and noisy environments remains challenging. Current speech-to-text models often face issues like inaccuracies in understanding complex accents, handling domain-specific terminology, and dealing with background noise.
The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.
AI has officially entered every possible sector and industry there is. In a recent interview on No Priors, NVIDIA chief Jensen Huang expressed an inspiring vision for the future of AI integration across fields. “Nothing will be left behind. We’re going to take everybody with us,” he added.
Last Updated on November 10, 2024 by Editorial Team Author(s): Rupali Patil Originally published on Towards AI. Building Conversational AI systems is hard!!! It’s feasible but also complex, time-consuming, and resource-intensive. The challenge lies in designing systems that can understand and generate human-like responses and ensuring that these systems engage users effectively, adapting to the nuances of conversation.
When it comes to artificial intelligence, the technological determinism argument is both exaggerated and oversimplified. Anyone following the rhetoric around artificial intelligence in recent years has heard one version or another of the claim that AI is inevitable.
Last Updated on November 9, 2024 by Editorial Team Author(s): Kamireddy Mahendra Originally published on Towards AI. Save Time and Effort in Creating data to Practice SQL This member-only story is on us. Upgrade to access all of Medium. Image by author Hello! In this article, You will find a very important tip to generate your data to practice SQL or any technology with your created data of any number of records.
Speaker: Alexa Acosta, Director of Growth Marketing & B2B Marketing Leader
Marketing is evolving at breakneck speed—new tools, AI-driven automation, and changing buyer behaviors are rewriting the playbook. With so many trends competing for attention, how do you cut through the noise and focus on what truly moves the needle? In this webinar, industry expert Alexa Acosta will break down the most impactful marketing trends shaping the industry today and how to turn them into real, revenue-generating strategies.
Document Visual Question Answering (DocVQA) represents a rapidly advancing field aimed at improving AI’s ability to interpret, analyze, and respond to questions based on complex documents that integrate text, images, tables, and other visual elements. This capability is increasingly valuable in finance, healthcare, and law settings, as it can streamline and support decision-making processes that rely on understanding dense and multifaceted information.
We organize all of the trending information in your field so you don't have to. Join 15,000+ 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