Analytics Vidhya

APRIL 24, 2024

Generative AI models hold promise for transforming healthcare, but their application raises critical questions about accuracy and reliability. Hugging Face has launched an Open Medical-LLM Leaderboard aiming to address these concerns. It provides a standardized platform to evaluate and compare models’ performance in various medical tasks. Let’s find out how this helps improve healthcare and […] The post Hugging Face Launches Open Medical-LLM Leaderboard to Evaluate GenAI in Healthcar

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AI News

APRIL 24, 2024

Microsoft has announced the Phi-3 family of open small language models (SLMs), touting them as the most capable and cost-effective of their size available. The innovative training approach developed by Microsoft researchers has allowed the Phi-3 models to outperform larger models on language, coding, and math benchmarks. “What we’re going to start to see is not a shift from large to small, but a shift from a singular category of models to a portfolio of models where customers get the

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Analytics Vidhya

APRIL 24, 2024

Ray-Ban Meta Smart Glasses have garnered attention for their sleek design and multifunctionality. The latest addition of multimodal AI enhances the utility of these AI glasses, offering users a seamless blend of technology and fashion. Let’s delve into the details of this innovative update and its implications. Also Read: Here’s the Latest AI-powered VR Glasses […] The post Ray-Ban Meta Smart Glasses Get a Multimodal AI Upgrade appeared first on Analytics Vidhya.

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IBM Journey to AI blog

APRIL 24, 2024

Large language models (LLMs) may be the biggest technological breakthrough of the decade. They are also vulnerable to prompt injections , a significant security flaw with no apparent fix. As generative AI applications become increasingly ingrained in enterprise IT environments, organizations must find ways to combat this pernicious cyberattack. While researchers have not yet found a way to completely prevent prompt injections, there are ways of mitigating the risk.

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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

APRIL 24, 2024

Introduction The world of AI-powered image generation is growing quickly, and Adobe Firefly Image 3 is at the forefront. Adobe Firefly Image 3 enables you to generate high-resolution, actual images or visual diagrams by giving its explanation in a text message. This software works well for you whether you are a developer, artist, or marketer, […] The post How to Use Adobe Firefly Image 3?

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Analytics Vidhya

APRIL 24, 2024

Introduction In the world of data analytics, where every piece of information holds untapped potential, the ability to transform raw data into actionable insights is a game-changer. Tableau, a dynamic and versatile data visualization tool, has revolutionized how organizations harness the power of their data. In this article, we’ll explore a free course for learning […] The post Free Course on Tableau For Beginners appeared first on Analytics Vidhya.

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Unite.AI

APRIL 24, 2024

Low-code development platforms have changed the way people create custom business solutions, including apps, workflows, and copilots. These tools empower citizen developers and create a more agile environment for app development. Adding AI to the mix has only enhanced this capability. The fact that there aren't enough people at an organization that have the skills (and time) to build the number of apps, automations and so on that are needed to drive innovation forward has given rise to the low-c

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Analytics Vidhya

APRIL 24, 2024

In today’s dynamic business landscape, maximizing profitability necessitates a strategic approach to cost reduction. Traditional methods often involve working around the existing infrastructure, but the challenge doesn’t just end there. Achieving a truly lean business model requires a deeper dive into efficiency. This is where AI can help.

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Artificial Intelligence Artificial Intelligence AI AI 300

NVIDIA

APRIL 24, 2024

To help customers make more efficient use of their AI computing resources, NVIDIA today announced it has entered into a definitive agreement to acquire Run:ai, a Kubernetes-based workload management and orchestration software provider. Customer AI deployments are becoming increasingly complex, with workloads distributed across cloud, edge and on-premises data center infrastructure.

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AI AI 144

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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?

Generative AI

Analytics Vidhya

APRIL 24, 2024

Introduction Have you ever thought how your computer can read text from images? It is all thanks to something called Optical Character Recognition, or OCR. In Python, there are some cool libraries that help your computer understand text in pictures. From Google’s powerful Tesseract to EasyOCR’s fancy deep learning, these libraries can do some pretty […] The post Top 8 OCR Libraries in Python to Extract Text from Image appeared first on Analytics Vidhya.

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Marktechpost

APRIL 24, 2024

Automation in modern industries often involves repetitive tasks, but the challenge arises when tasks require flexibility and spontaneous decision-making. Traditional robotic process automation (RPA) systems are designed for static, routine activities, falling short when unpredictability is introduced. These systems are typically confined to predefined workflows, limiting their ability to handle tasks that deviate from standard procedures or require immediate adaptation.

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Analytics Vidhya

APRIL 24, 2024

Introduction Ever felt overwhelmed by the jargon of deep learning? You’re not alone! This field is packed with powerful concepts, but remembering every term can be challenging. This glossary is here to bridge the gap. further in this article, we will explore 100 essential deep learning terms, making complex ideas approachable and empowering you to […] The post 100 Deep Learning Terms Explained appeared first on Analytics Vidhya.

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Deep Learning Explainability Data Science 290

databricks

APRIL 24, 2024

Unlock the power of Apache Spark™ with Unity Catalog Lakeguard on Databricks Data Intelligence Platform. Run SQL, Python & Scala workloads with full data governance & cost-efficient multi-user compute.

Python 126

Python 126

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.

Analytics Vidhya

APRIL 24, 2024

Introduction In the world of machine learning, the trend toward smaller, more efficient models has grown significantly. These compact models are crucial for developers and researchers who need to run applications locally on devices with limited resources. Not only do they require less computational power, but they also allow for rapid deployment and agile testing. […] The post 5 Compact Hugging Face Models for Running Locally appeared first on Analytics Vidhya.

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NVIDIA

APRIL 24, 2024

To address the shift to electric vehicles, increased semiconductor demand, manufacturing onshoring, and ambitions for greater sustainability, manufacturers are investing in new factory developments and re-engineering their existing facilities. These projects often run over budget and schedule, due to complex and manual planning processes, legacy technology infrastructure, and disconnected tools, data and teams.

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Analytics Vidhya

APRIL 24, 2024

Introduction The world of AI just got a whole lot more exciting with the release of Llama3! This powerful open-source language model, created by Meta, is shaking things up. Llama3, available in 8B and 70B pretrained and instruction-tuned variants, offers a wide range of applications. In this guide, we will explore the capabilities of Llama3 […] The post How to Access Llama3 with Flask?

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Large Language Models AI AI Generative AI 229

Marktechpost

APRIL 24, 2024

MIT CSAIL researchers introduced MAIA (Multimodal Automated Interpretability Agent) to address the challenge of understanding neural models, especially in computer vision, where interpreting the behavior of complex models is essential for improving accuracy and robustness and identifying biases. Current methods rely on manual effort, like exploratory data analysis, hypothesis formulation, and controlled experimentation, making the process slow and expensive.

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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.

Data Analysis

Analytics Vidhya

APRIL 24, 2024

The post Prompt Battle appeared first on Analytics Vidhya.

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AI AI 325

Marktechpost

APRIL 24, 2024

LLMs have grown remarkably over the past few years, largely driven by global initiatives to scale up both model sizes and datasets. From just one billion parameters five years ago, exemplified by GPT-2 with 1.5 billion parameters, LLMs now boast trillion-parameter architectures. This push stems from the perceived benefits of training larger models, as indicated by scaling laws.

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Analytics Vidhya

APRIL 24, 2024

Introduction AI engineering is at the cutting edge of technological advancement, reshaping sectors from healthcare to finance through its ability to address complex challenges and enhance efficiency. AI engineers are essential, merging expertise in data science, machine learning, and software development to create systems capable of autonomous thought, learning, and decision-making.

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NVIDIA

APRIL 24, 2024

Editor’s note: This post is part of the AI Decoded series , which demystifies AI by making the technology more accessible, and which showcases new hardware, software, tools and accelerations for RTX PC users. AI continues to raise the bar for PC gaming. DLSS 3.5 with Ray Reconstruction creates higher quality ray-traced images for intensive ray-traced games and apps.

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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.

Marktechpost

APRIL 24, 2024

Deep reinforcement learning (Deep RL) combines reinforcement learning (RL) and deep learning. It has shown remarkable success in complex tasks previously unimaginable for a machine. Deep RL has achieved human-level or superhuman performance for many two-player or multi-player games. Such achievements with popular games are significant because they show the potential of deep RL in various complex and diverse tasks based on high-dimensional inputs.

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Neural Network Deep Learning Algorithm Robotics 92

Artificial Lawyer

APRIL 24, 2024

ayora is on a mission to address a ‘$36bn value gap in the Big Law industry by empowering lawyers as P&L owners’, in effect collecting and leveraging legal work data using AI to help drive prof…

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AI AI 104

Marktechpost

APRIL 24, 2024

Large Language Models (LLMs) have steered in a period of extraordinary growth for Artificial Intelligence (AI) technology. To address issues like conversation hallucination, these models are being used increasingly in various settings where unstructured multimedia data is converted into embedding vectors. Vector Data Management Systems (VDMSs) are specifically designed to manage these vectors effectively.

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Machine Learning Large Language Models Artificial Intelligence Artificial Intelligence 95

AWS Machine Learning Blog

APRIL 24, 2024

The Amazon EU Design and Construction (Amazon D&C) team is the engineering team designing and constructing Amazon warehouses. The team navigates a large volume of documents and locates the right information to make sure the warehouse design meets the highest standards. In the post A generative AI-powered solution on Amazon SageMaker to help Amazon EU Design and Construction , we presented a question answering bot solution using a Retrieval Augmented Generation (RAG) pipeline with a fine-tune

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LLM AI AI Generative AI 96

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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.

Artificial Intelligence

Marktechpost

APRIL 24, 2024

Power BI is a business intelligence (BI) tool developed by Microsoft for creating dashboards and reports. It supports integrations with a wide range of data sources and allows users to perform complex transformations using Power Query and create compelling visualizations with the help of DAX measures. As such, thousands of organizations use this tool as a BI tool.

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Artificial Lawyer

APRIL 24, 2024

Gabriela Isturiz is an early-stage investor, advisor, and general partner of Everywhere Ventures, and also invests via The Fund XX. She’s also one of our many.

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Marktechpost

APRIL 24, 2024

Global biodiversity has sharply declined in recent decades, with North America experiencing a 29% decrease in wild bird populations since 1970. Various factors drive this loss, including land use changes, resource exploitation, pollution, climate change, and invasive species. Effective monitoring systems are crucial for combating biodiversity decline, with birds serving as key indicators of environmental health.

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