Sat.Nov 09, 2024

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A Guide to 400+ Categorized Large Language Model(LLM) Datasets

Analytics Vidhya

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?

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AI Tool Reveals Long COVID May Affect 23% of People

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A new AI tool identified long COVID in 22.8% of patients, a much higher rate than previously diagnosed.

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How to Access Stable Diffusion 3.5?

Analytics Vidhya

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?

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How ChatGPT Brought Down an Online Education Giant

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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.

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Usage-Based Monetization Musts: A Roadmap for Sustainable Revenue Growth

Speaker: David Warren and Kevin O'Neill Stoll

Transitioning to a usage-based business model offers powerful growth opportunities but comes with unique challenges. How do you validate strategies, reduce risks, and ensure alignment with customer value? Join us for a deep dive into designing effective pilots that test the waters and drive success in usage-based revenue. Discover how to develop a pilot that captures real customer feedback, aligns internal teams with usage metrics, and rethinks sales incentives to prioritize lasting customer eng

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Researchers at Peking University Introduce A New AI Benchmark for Evaluating Numerical Understanding and Processing in Large Language Models

Marktechpost

Large language models (LLMs) have revolutionized artificial intelligence, showing prowess in handling complex reasoning and mathematical tasks. However, these models face fundamental challenges in basic numerical understanding, an area often essential for more advanced mathematical reasoning. Researchers are increasingly exploring how LLMs manage numerical concepts like decimals, fractions, and scientific notation.

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Researchers from Bloomberg and UNC Chapel Hill Introduce M3DocRAG: A Novel Multi-Modal RAG Framework that Flexibly Accommodates Various Document Context

Marktechpost

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.

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Large Behavior Models Surpass Large Language Models To Create AI That Walks And Talks

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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.

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The Semantic Hub: A Cognitive Approach to Language Model Representations

Marktechpost

Language models have demonstrated remarkable capabilities in processing diverse data types, including multilingual text, code, mathematical expressions, images, and audio. However, a fundamental question arises: how do these models effectively handle such heterogeneous inputs using a single parameter set? While one approach suggests developing specialized subspaces for each data type, this overlooks the inherent semantic connections that exist across seemingly different forms of data.

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The Incredible Power of Quantum Memory

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Researchers are exploring new ways that quantum computers will be able to reveal the secrets of complex quantum systems.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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SVDQuant: A Novel 4-bit Post-Training Quantization Paradigm for Diffusion Models

Marktechpost

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.

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ChatGPT rejected more than 250,000 image generations of presidential candidates prior to Election Day

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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.

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Apple’s Surprising Take On AI: Why The Future Isn’t As Bright As We Thought

Towards AI

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.

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Could A.I. Solve Some of the Major Issues Facing Museums?

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Leading researchers in creative computing are building tools especially adapted to serve our cultural institutions.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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27 Equations Every Data Scientist Needs to Know

Towards AI

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.

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OpenAI says over 2 million people consulted ChatGPT for the 2024 election

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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.

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RAGate: Adaptive RAG for Conversational AI

Towards AI

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.

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OpenAI backs robots, Amazon and Palantir's defense deal, Saudi Arabia's $100 billion bet: This week's AI launches

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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.

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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

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Top 10 VPNs for Apple TV in 2025

Marktechpost

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.

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‘We’re Going to Take Everybody With Us,’ says NVIDIA’s Jensen Huang

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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.

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Gemini AI Now Accessible Through the OpenAI Library for Streamlined Use

Marktechpost

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.

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AI’s dominance is not inevitable, according to a tech ethicist

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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.

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From Diagnosis to Delivery: How AI is Revolutionizing the Patient Experience

Speaker: Simran Kaur, Founder & CEO at Tattva Health Inc.

The healthcare landscape is being revolutionized by AI and cutting-edge digital technologies, reshaping how patients receive care and interact with providers. In this webinar led by Simran Kaur, we will explore how AI-driven solutions are enhancing patient communication, improving care quality, and empowering preventive and predictive medicine. You'll also learn how AI is streamlining healthcare processes, helping providers offer more efficient, personalized care and enabling faster, data-driven

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ADOPT: A Universal Adaptive Gradient Method for Reliable Convergence without Hyperparameter Tuning

Marktechpost

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.

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AGI is Coming in 2025

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This time around it is starting to feel real.

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Researchers at Cambridge Provide Empirical Insights into Deep Learning through the Pedagogical Lens of Telescopic Model that Uses First-Order Approximations

Marktechpost

Neural networks remain a beguiling enigma to this day. On the one hand, they are responsible for automating daunting tasks across fields such as image vision, natural language comprehension, and text generation; yet, on the other hand, their underlying behaviors and decision-making processes remain elusive. Neural networks many times exhibit counterintuitive and abnormal behavior, like non-monotonic generalization performance, which reinstates doubts about their caliber.

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Woman Furious When Tattoo Artist Admits Her Half-Finished Tattoo Is AI-Generated

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"It doesn't have a soul.

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Introducing CDEs to Your Enterprise

Explore how enterprises can enhance developer productivity and onboarding by adopting self-hosted Cloud Development Environments (CDEs). This whitepaper highlights the simplicity and flexibility of cloud-based development over traditional setups, demonstrating how large teams can leverage economies of scale to boost efficiency and developer satisfaction.

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Does Your Model Hallucinate? Tips and Tricks on How to Measure and Reduce Hallucinations in LLMs

deepsense.ai

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.

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Headshot Photographers: AI Is About To Eat Your Lunch

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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?

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10 Best Methods to Use Python Filter List

Marktechpost

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.

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