Unite.AI

MARCH 11, 2024

As we navigate the recent artificial intelligence (AI) developments, a subtle but significant transition is underway, moving from the reliance on standalone AI models like large language models (LLMs) to the more nuanced and collaborative compound AI systems like AlphaGeometry and Retrieval Augmented Generation (RAG) system. This evolution has gained momentum in 2023, reflecting a paradigm shift on how AI can handle diverse scenarios not solely through scaling up models but through the strategic

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Analytics Vidhya

MARCH 11, 2024

Infibeam Avenues has recently introduced THEIA, a revolutionary video AI developer platform, poised to transform the landscape of artificial intelligence applications across various sectors. The platform promises to unlock new possibilities in video data utilization, enabling businesses, institutions, and governments to harness the power of AI for enhanced productivity and efficiency.

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AI News

MARCH 11, 2024

OpenAI has announced a refreshed board of directors and new governance structure following recent turmoil that saw CEO Sam Altman ousted, briefly recruited by Microsoft, and then quickly reinstated at the AI research company. In a statement, OpenAI said Altman will rejoin the board alongside three new independent directors: Sue Desmond-Hellmann, former CEO of the Bill and Melinda Gates Foundation, Nicole Seligman, former executive vice president and general counsel at Sony Corporation, and Fidji

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Analytics Vidhya

MARCH 11, 2024

India’s recent announcement of the India AI Mission has sparked optimism among industry experts and entrepreneurs. The mission comes with a significant financial outlay and a focus on fostering innovation in the deep tech sector. It aims to address the longstanding challenges faced by Indian startups in accessing funding and support. Let’s delve into the […] The post Indian Government Approves Rs 10,372 Crore Fund for India AI Mission appeared first on Analytics Vidhya.

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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

Unite.AI

MARCH 11, 2024

Artificial Intelligence (AI), including generative AI (GenAI), is rapidly revolutionizing business processes and challenging traditional operational models across industries. The mergers and acquisitions (M&A) industry is no exception. Large language models (LLM) and GenAI are particularly well-suited to support industries reliant on processing and analyzing vast amounts of data.

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Unite.AI

MARCH 11, 2024

In today's digital world, there's no question that first impressions matter, especially for business professionals. Whether you want to land new clients or attract a new job, a professional, high-quality headshot has never been more important! As someone testing the best AI headshot generators , I recently discovered a new AI service called Headpix.

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Analytics Vidhya

MARCH 11, 2024

At Analytics Vidhya, we’re shining a spotlight on women in data science this March. Dive into the inspiring journey of Ruchi Bhatia, a leader in the field. Stay tuned for her story and more empowering narratives all month long! Let’s look at her story of inspiration! Ruchi Bhatia’s Story in her own Words My Data […] The post Ruchi Bhatia’s Journey from Coding Prodigy to Triple Kaggle Grandmaster appeared first on Analytics Vidhya.

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Marktechpost

MARCH 11, 2024

Recent studies have highlighted the efficacy of Selective State Space Layers, also known as Mamba models, across various domains, such as language and image processing, medical imaging, and data analysis. These models offer linear complexity during training and fast inference, significantly boosting throughput and enabling efficient handling of long-range dependencies.

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SAS Software

MARCH 11, 2024

Best-selling author and banking industry futurist Brett King once said, “The easiest customer experience isn’t one where you drive to the branch, find a parking spot, wait in line, ask advice, and sign a piece of paper. It’s one where you activate the service you need in real time when [.

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Business Intelligence

Marktechpost

MARCH 11, 2024

The surge in deploying Large Language Models (LLMs) such as GPT-3, OPT, and BLOOM across various digital interfaces, including chatbots and text summarization tools, has brought the critical need for optimizing their serving infrastructure to the forefront. LLMs are notorious for their huge sizes and the substantial computational resources they necessitate, presenting a trio of formidable challenges in their serving: efficiently utilizing hardware accelerators, managing the memory footprint, and

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AWS Machine Learning Blog

MARCH 11, 2024

VistaPrint , a Cimpress business, is the design and marketing partner to millions of small businesses around the world. For more than two decades, VistaPrint has empowered small businesses to quickly and effectively create the marketing products – from promotional materials and signage to print advertising and more – to get the job done, regardless of whether they operate in-store or online.

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Marktechpost

MARCH 11, 2024

Diffusion probabilistic models (DPMs) have long been a cornerstone of AI image generation, but their computational demands have been a significant drawback. This paper introduces a novel technique, T-Stitch, which offers a clever solution to this problem. By enhancing the efficiency of DPMs without compromising image quality, T-Stitch revolutionizes the field of AI image generation.

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Extreme Tech

MARCH 11, 2024

If you live in the US and you've never seen totality, the upcoming April 8 eclipse might be worth going the (literal) extra mile.

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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

AI

Marktechpost

MARCH 11, 2024

In artificial intelligence, the synergy between visual and textual data plays a pivotal role in evolving models capable of understanding and generating content that bridges the gap between these two modalities. Vision-Language Models (VLMs), which leverage vast datasets of paired images and text, are at the forefront of this innovative frontier. These models harness the power of image-text datasets to achieve breakthroughs in various tasks, from enhancing image recognition to pioneering new form

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databricks

MARCH 11, 2024

Today, we are excited to announce the general availability of Feature Serving. Features play a pivotal role in AI Applications, typically requiring considerable.

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Marktechpost

MARCH 11, 2024

The ability of Large Language Models (LLMs) to solve tasks related to Natural Language Processing (NLP) and Natural Language Generation (NLG) using few-shot reasoning has led to an increase in their popularity. However, more research is still needed on the subject of LLMs’ comprehension of organised data, including tables. Tables can be serialized and used as input to LLMs, but there aren’t many thorough studies evaluating how well LLMs actually understand this kind of structured dat

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NVIDIA

MARCH 11, 2024

The ecosystem around NVIDIA’s technologies has always been verdant — but this is absurd. After a stunning premiere at the World Economic Forum in Davos, immersive artworks based on Refik Anadol Studio’s Large Nature Model will come to the U.S. for the first time at NVIDIA GTC. Offering a deep dive into the synergy between AI and the natural world, Anadol’s multisensory work, “Large Nature Model: A Living Archive,” will be situated prominently on the main concourse of the San Jose Convention Cent

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Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

Business Intelligence

Marktechpost

MARCH 11, 2024

Value functions are a core component of deep reinforcement learning (RL). Value functions, implemented with neural networks, undergo training via mean squared error regression to align with bootstrapped target values. However, upscaling value-based RL methods utilizing regression for extensive networks, like high-capacity Transformers, has posed challenges.

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Towards AI

MARCH 11, 2024

Last Updated on March 13, 2024 by Editorial Team Author(s): Meng Li Originally published on Towards AI. Created by Meng Li Training large language models always presents a significant challenge with memory. Weights and optimizer states consume a considerable amount of memory. To save memory, some techniques have been devised, such as Low-Rank Adaptation (LoRA), which involves adding trainable low-rank matrices to pre-trained weights.

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Marktechpost

MARCH 11, 2024

In a recent study, a team of researchers addressed the intrinsic drawbacks of current online content portals that enable users to ask questions to improve their comprehension, especially in learning environments such as lectures. Conventional Information Retrieval (IR) systems are great at answering these kinds of questions from users, but they are not very good at helping content providers, like lecturers, pinpoint the exact parts of their material that prompted the question in the first place.

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NVIDIA

MARCH 11, 2024

You might say that James Alberque has a bird’s-eye view of the road congestion and challenges that come with a booming U.S. city. Alberque analyzes traffic data for Raleigh, North Carolina, which has seen its population more than double in the past three decades. The city has been working with NVIDIA and its partners to analyze traffic on the roads and intersections to help reduce congestion and enhance pedestrian safety.

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Marktechpost

MARCH 11, 2024

With the integration of Large Language Models (LLMs) with pre-trained visual encoders, Multimodal Large Language Models (MLLMs) have revolutionized the realm of artificial intelligence. Still, there are challenges, especially in accurately recognizing and comprehending intricate details in high-resolution images. Emergent vision-language capabilities are demonstrated by current MLLMs, such as Flamingo, BLIP-2, LLaVA, and MiniGPT-4.

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Towards AI

MARCH 11, 2024

Last Updated on March 13, 2024 by Editorial Team Author(s): Fatma Elik Originally published on Towards AI. Photo by Sebastian Coman Photography on Unsplash Unlock PyTorch tensor mastery!U+2728 From basics to advanced operations, elevate your Deep Learning skills with this comprehensive guide. U+1F525 Overview of the Course Structure U+1F9F5 Introduction to TensorsCreating TensorsRetrieving Information from TensorsManipulating TensorsHandling Tensor ShapesMatrix Multiplication in Depth To be a ma

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Marktechpost

MARCH 11, 2024

Developing large language models (LLMs) in artificial intelligence, such as OpenAI’s GPT series, marks a transformative era, bringing profound impacts across various sectors. These sophisticated models have become cornerstones for generating contextually rich and coherent text outputs, facilitating applications from automated content creation to nuanced customer service interactions.

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Machine Learning Mastery

MARCH 11, 2024

The real estate industry is a vast network of stakeholders including agents, homeowners, investors, developers, municipal planners, and tech innovators, each bringing unique perspectives and objectives to the table. Within this intricate ecosystem, data emerges as the critical element that binds these diverse interests together, facilitating collaboration and innovation.

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Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

Generative AI

Marktechpost

MARCH 11, 2024

Deep Neural Networks (DNNs) excel in enhancing surgical precision through semantic segmentation and accurately identifying robotic instruments and tissues. However, they face catastrophic forgetting and a rapid decline in performance on previous tasks when learning new ones, posing challenges in scenarios with limited data. DNNs’ struggle with catastrophic forgetting hampers their proficiency in recognizing previously learned instruments or anatomical structures, especially when updated da

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PyImageSearch

MARCH 11, 2024

Home Table of Contents Understanding Tasks in Diffusers: Part 2 Configuring Your Development Environment What Is Inpainting? Setup and Imports Loading the Image and Masks An Inpainting Demo Blurring the Masked Area SDXL for Inpainting Preserving the Unmasked Area Pipeline Parameters Chained Inpainting (Text2Img to Inpainting) Chained Inpainting (Inpainting to Img2Img) Controlling Image Generation Using a Control Image Using Another Refiner Model Summary Citation Information Understanding Tasks i

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Marktechpost

MARCH 11, 2024

The recent advancements in machine learning, particularly in generative models, have been marked by the emergence of diffusion models (DMs) as powerful tools for modeling complex data distributions and generating realistic samples across various domains such as images, videos, audio, and 3D scenes. Despite their practical success, the full theoretical understanding of generative diffusion models still needs to be improved.

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