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.
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
Introduction With the potential to add $2.6 trillion to $4.4 trillion annually to the global economy, Generative AI has made its way into almost every industry. It is revolutionizing the way businesses approach problem-solving, inventiveness, and innovation. Consequently, companies are on a constant lookout for candidates with Generative AI skills that could help them stay […] The post Top 6 Generative AI Skills that will Supercharge your Career appeared first on Analytics Vidhya.
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.
Speaker: John Mansour
If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.
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.
Artificial Intelligence Zone brings together the best content for AI and ML professionals from the widest variety of thought leaders.
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.
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.
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 [.
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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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?
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.
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
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
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.
Speaker: Scott Sehlhorst
We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.
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.
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.
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.
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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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.
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.
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.
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.
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.
Speaker: Anne Steiner and David Laribee
As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.
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.
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
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
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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While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.
Towards AI
MARCH 11, 2024
Last Updated on March 13, 2024 by Editorial Team Author(s): Marie Stephen Leo Originally published on Towards AI. Reduce LLM latency and cost by over 95% using OpenAI, LiteLLM, Qdrant, and Sentence Transformers!Image generated by Author using Dall E 3 Latency and costs are significant challenges with LLM-based chatbots today. The problem is even more pronounced in Retrieval Augmented Generation (RAG) agents, where we must make multiple calls to the LLM before returning an answer to the user.
Marktechpost
MARCH 11, 2024
In artificial intelligence, large language models (LLMs) are a beacon of innovation, ushering in an era where autonomous agents can perform complex tasks with unprecedented precision. These models, including renowned examples like GPT-4, enable agents to plan and execute actions within diverse environments, from web browsing to multi-modal reasoning.
Towards AI
MARCH 11, 2024
Last Updated on March 13, 2024 by Editorial Team Author(s): Youssef Hosni Originally published on Towards AI. Prompt Engineering for Instruction-Tuned LLM Large language models excel at translation and text transformation, effortlessly converting input from one language to another or aiding in spelling and grammar corrections. They are adept at taking imperfectly structured text and refining it, while also capable of converting between various formats, like translating HTML input into JSON outpu
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