Thu.Feb 22, 2024

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Building End-to-End Generative AI Models with AWS Bedrock

Analytics Vidhya

Introduction In the past, Generative AI has captured the market, and as a result, we now have various models with different applications. The evaluation of Gen AI began with the Transformer architecture, and this strategy has since been adopted in other fields. Let’s take an example. As we know, we are currently using the VIT […] The post Building End-to-End Generative AI Models with AWS Bedrock appeared first on Analytics Vidhya.

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Google pledges to fix Gemini’s inaccurate and biased image generation

AI News

Google’s Gemini model has come under fire for its production of historically-inaccurate and racially-skewed images, reigniting concerns about bias in AI systems. The controversy arose as users on social media platforms flooded feeds with examples of Gemini generating pictures depicting racially-diverse Nazis, black medieval English kings, and other improbable scenarios.

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Reliance Hanooman: India’s ChatGPT-Style AI Model Set to Launch in March

Analytics Vidhya

India’s AI landscape is on the brink of a transformation as Reliance Industries, led by Mukesh Ambani, gears up to launch its revolutionary AI model named Hanooman. Developed in collaboration with top engineering schools, including Indian Institute of Technology (IIT) universities, Hanooman promises to usher in a new era of AI interaction in India, particularly […] The post Reliance Hanooman: India’s ChatGPT-Style AI Model Set to Launch in March appeared first on Analytics Vidh

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IBM Cloud delivers enterprise sovereign cloud capabilities

IBM Journey to AI blog

As we see enterprises increasingly face geographic requirements around sovereignty, IBM Cloud® is committed to helping clients navigate beyond the complexity so they can drive true transformation with innovative hybrid cloud technologies. We believe this is particularly important with the rise of generative AI. While AI can undoubtedly offer a competitive edge to organizations that effectively leverage its capabilities, we have seen unique concerns from industry to industry and region to re

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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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30+ MCQs on Python Inheritance and Polymorphism

Analytics Vidhya

Welcome to the Python Inheritance and Polymorphism MCQs! Inheritance is a key concept in object-oriented programming that allows a new class to inherit attributes and methods from an existing class. Polymorphism, on the other hand, refers to the ability of a method to behave differently based on the object it is called on. These questions […] The post 30+ MCQs on Python Inheritance and Polymorphism appeared first on Analytics Vidhya.

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Clean Email: Organize Your Inbox Using Email Management Services

Analytics Vidhya

Introduction Email has become an essential tool for communication. However, with the sheer volume of emails we receive daily, it can take time to keep inboxes organized. The love-hate relationship with your overflowing email inbox can be very frustrating. This is where Clean Email comes in to save the day. Email management services such as […] The post Clean Email: Organize Your Inbox Using Email Management Services appeared first on Analytics Vidhya.

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Expanding on ethical considerations of foundation models

IBM Journey to AI blog

The rise of foundation models that power the growth of generative AI and other AI use cases offers exciting possibilities—yet it also raises new questions and concerns about their ethical design, development, deployment, and use. The IBM AI Ethics Board publication Foundation models: Opportunities, risks and mitigations addresses those concerns and explores the technology’s benefits, risks, guardrails, and mitigations.

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AI News Weekly - Issue #373: House launching AI task force - Feb 22nd 2024

AI Weekly

Powered by clkmg.com In the News House launching bipartisan AI task force The House announced Tuesday it will launch a bipartisan task force centered on AI. The mission of the task force is to ensure the United States is leading the world in AI innovation, but it also considers the “guardrails that may be appropriate” as the widely popular emerging technology continues to raise potential security concerns. thehill.com Sponsor Meet the device ushering in a new era of hearing clarity Discover unpa

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Rohan Malhotra, Founder & CEO of Roadzen – Interview Series

Unite.AI

Rohan Malhotra is the CEO, founder and director of Roadzen , a global insurtech company advancing AI at the intersection of mobility and insurance. Roadzen has pioneered computer vision research, generative AI and telematics including tools and products for road safety, underwriting and claims. Companies like Axa, Allianz, Tata, and Audi use Roadzen to provide a better auto insurance experience to every driver on the road.

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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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Why product teams at top call tracking solutions are turning to AI

AssemblyAI

Eighty-four percent of marketing teams agree that phone calls have higher conversion rates than any other form of engagement. But the manual tasks associated with mass phone calls—note taking, logging CRM data, QA reviews—can be labor intensive. Call tracking tools and solutions help ease this process for marketers and sales teams with suites of AI-powered call tracking automation tools.

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10 Best CRM Software Platforms

Unite.AI

In the dynamic world of business, Customer Relationship Management (CRM) software has become an indispensable tool for companies aiming to streamline their customer interactions, sales processes, and marketing strategies. As we navigate through 2024, the CRM landscape continues to evolve, offering an array of solutions tailored to meet diverse business needs.

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FOMO Alert: Discover 7 Unmissable Reasons to Attend GTC 2024

NVIDIA

“I just got back from GTC and ….” In four weeks, those will be among the most powerful words in your industry. But you won’t be able to use them if you haven’t been here. NVIDIA’s GTC 2024 transforms the San Jose Convention Center into a crucible of innovation, learning and community from March 18-21, marking a return to in-person gatherings that can’t be missed.

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OLMo: Enhancing the Science of Language Models

Unite.AI

The development and progress of language models in the past few years have marked their presence almost everywhere, not only in NLP research but also in commercial offerings and real-world applications. However, the surge in commercial demand for language models has, to a certain extent, hindered the growth of the community. This is because a majority of state-of-the-art and capable models are gated behind proprietary interfaces, making it impossible for the development community to access vital

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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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Researchers from UT Austin and AWS AI Introduce a Novel AI Framework ‘ViGoR’ that Utilizes Fine-Grained Reward Modeling to Significantly Enhance the Visual Grounding of LVLMs over Pre-Trained Baselines

Marktechpost

Integrating natural language understanding with image perception has led to the development of large vision language models (LVLMs), which showcase remarkable reasoning capabilities. Despite their progress, LVLMs often encounter challenges in accurately anchoring generated text to visual inputs, manifesting as inaccuracies like hallucinations of non-existent scene elements or misinterpretations of object attributes and relationships.

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Using analytics for rare disease treatment: Unveiling opportunities for advancements

SAS Software

Rare diseases, often called orphan diseases, affect a small percentage of the population. Despite their rarity, these diseases collectively impact millions worldwide. Being a health care professional who cares deeply about overall patient care, the challenges in diagnosing and treating rare diseases resonate profoundly with me. Limited data availability, dispersed [.

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Optimizing Large Language Models with Granularity: Unveiling New Scaling Laws for Mixture of Experts

Marktechpost

The rapid advancement of large language models (LLMs) has significantly impacted various domains, offering unprecedented capabilities in processing and generating human language. Despite their remarkable achievements, the substantial computational costs of training these gargantuan models have raised financial and environmental sustainability concerns.

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4 Mistakes That Will Separate You From a Pro Data Scientist

Towards AI

Author(s): Gencay I. Originally published on Towards AI. Avoid These 4 Mistakes to Match Pro Data Scientist SkillsCreated with Abidin Dino AI, to reach it, consider being Paid subscriber to LearnAIWithMe, here Did you know that the average time HR professionals spend looking at your project is just 7.4 seconds, according to research conducted by The Ladders?

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

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.

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Decoding AI Reasoning: A Deep Dive into the Impact of Premise Ordering on Large Language Models from Google DeepMind and Stanford Researchers

Marktechpost

One intriguing aspect of human cognition is the process of logical deduction, where conclusions are derived from a set of premises or facts. The logical structure dictates that the order of premises should not influence the outcome of reasoning – a principle that holds in human cognitive processes to a large extent. However, in AI, this problem arises in LLMs: their performance significantly varies with changes in the sequence of presented premises despite the logical conclusion remaining

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A Riddle That 99% Of Large Language Models Get Wrong

Towards AI

Author(s): Meng Li Originally published on Towards AI. Meng Li creates with DALL·E 3 I have delved deeply into numerous large language models, but with each new model release, there always comes a slew of tedious benchmark tests. To be honest, these academic evaluations are nearly incomprehensible to the average user, akin to reading an arcane script.

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Unlocking the Future of Mathematics with AI: Meet InternLM-Math, the Groundbreaking Language Model for Advanced Math Reasoning and Problem-Solving

Marktechpost

The integration of artificial intelligence in mathematical reasoning marks a pivotal advancement in our quest to understand and utilize the very language of the universe. Mathematics, a discipline that stretches from the rudimentary principles of arithmetic to the complexities of algebra and calculus, serves as the bedrock for innovation across various fields, including science, engineering, and technology.

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Complete Your Data Science Tasks Fast Like a Pro

Towards AI

Last Updated on February 23, 2024 by Editorial Team Author(s): Poornachandra Sarang Originally published on Towards AI. How would you expedite the completion of your next data science project?Photo by Mohamed Nohassi on Unsplash You would recall the times when we would look up a quick coding exemplar on StackOverflow. Is there anyone who could assist us in creating an AI model?

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The Tumultuous IT Landscape Is Making Hiring More Difficult

After a year of sporadic hiring and uncertain investment areas, tech leaders are scrambling to figure out what’s next. This whitepaper reveals how tech leaders are hiring and investing for the future. Download today to learn more!

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Microsoft Introduces Multilingual E5 Text Embedding: A Step Towards Multilingual Processing Excellence

Marktechpost

The primary challenge in text embeddings in Natural Language Processing (NLP) lies in developing models that can perform equally well across different languages. Traditional models are often English-centric, limiting their efficacy in multilingual contexts. This gap highlights the need for embedding models trained on diverse linguistic data capable of understanding and interpreting multiple languages without losing accuracy or performance.

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Learn AI Together — Towards AI Community Newsletter #13

Towards AI

Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, fellow AI enthusiasts! In this week’s edition of the Learn AI Together newsletter, we have a comprehensive guide designed to teach everything about large language models (LLMs) in 2024 for free. ‘From zero to hero with LLMs’ is a curated collection of resources to make cutting-edge AI knowledge accessible to all with the wealth of free online materials.

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Unlocking the Power of Tables with Large Language Models: A Comprehensive Survey on Automating Data-Intensive Tasks

Marktechpost

Large Language Models(LLMs) have been successful in processing data in the form of text, images, and audio, but they face challenges when the data is provided as a table. LLMs can work better on a variety of tasks, such as database queries, spreadsheet calculations, and generating reports from web tables if the model can interpret the tables as input.

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Language Modeling From Scratch — Deep Dive Into Activations, Gradients and BatchNormalization (Part 3)

Towards AI

Last Updated on February 22, 2024 by Editorial Team Author(s): Abhishek Chaudhary Originally published on Towards AI. Photo by ray rui on Unsplash In previous article we implemented a Multi Layer Perceptron with 2 Hidden Layers. We observed an improvement over our original model which made use of probability distribution to generate random names. In this article we’ll take a deeper look into activations, gradients and batch normalization.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

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.

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CREMA by UNC-Chapel Hill: A Modular AI Framework for Efficient Multimodal Video Reasoning

Marktechpost

In artificial intelligence, integrating multimodal inputs for video reasoning stands as a frontier, challenging yet ripe with potential. Researchers increasingly focus on leveraging diverse data types – from visual frames and audio snippets to more complex 3D point clouds – to enrich AI’s understanding and interpretation of the world.

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Strengthening Cyber Resilience through Efficient Data Management: A Response to M-21-31

databricks

In today's environment, proactive cybersecurity is crucial to any public sector agency. For many organizations, log data that security professionals need for effective.

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Huawei Researchers Introduce a Novel and Adaptively Adjustable Loss Function for Weak-to-Strong Supervision

Marktechpost

The progress and development of artificial intelligence (AI) heavily rely on human evaluation, guidance, and expertise. In computer vision, convolutional networks acquire a semantic understanding of images through extensive labeling provided by experts, such as delineating object boundaries in datasets like COCO or categorizing images in ImageNet. Similarly, in robotics, reinforcement learning often relies on human-defined reward functions to guide machines toward optimal performance.