Analytics Vidhya

FEBRUARY 22, 2024

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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AI News

FEBRUARY 22, 2024

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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Analytics Vidhya

FEBRUARY 22, 2024

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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AI Modeling ChatGPT AI AI 293

AI Weekly

FEBRUARY 22, 2024

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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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

FEBRUARY 22, 2024

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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Artificial Intelligence Artificial Intelligence 287

Analytics Vidhya

FEBRUARY 22, 2024

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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Python 283

Unite.AI

FEBRUARY 22, 2024

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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IBM Journey to AI blog

FEBRUARY 22, 2024

With a vast amount of technology training and education available today, it’s difficult to know what deserves your attention and what’s just a marketing ploy. Furthermore, most training and education in technology is only offered through text or video, meaning that the learner doesn’t have an opportunity to apply the theory that they are learning.

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DevOps Software Engineer 184

AssemblyAI

FEBRUARY 22, 2024

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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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

IBM Journey to AI blog

FEBRUARY 22, 2024

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.

AI Tools 184

AI Tools Generative AI AI AI 184

NVIDIA

FEBRUARY 22, 2024

“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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Neural Network Robotics Generative AI AI 142

Marktechpost

FEBRUARY 22, 2024

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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SAS Software

FEBRUARY 22, 2024

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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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.

Marktechpost

FEBRUARY 22, 2024

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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Large Language Models LLM Artificial Intelligence Artificial Intelligence 134

Towards AI

FEBRUARY 22, 2024

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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Data Scientist AI AI Artificial Intelligence 115

Marktechpost

FEBRUARY 22, 2024

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

Large Language Models 132

Large Language Models LLM AI AI 132

Towards AI

FEBRUARY 22, 2024

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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Neural Network AI AI Data Science 115

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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

Marktechpost

FEBRUARY 22, 2024

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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Large Language Models Artificial Intelligence Artificial Intelligence AI 131

Towards AI

FEBRUARY 22, 2024

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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Large Language Models AI Modeling AI AI 111

Marktechpost

FEBRUARY 22, 2024

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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Natural Language Processing NLP ML Large Language Models 130

Towards AI

FEBRUARY 22, 2024

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?

Data Science 111

Data Science Data Scientist ChatGPT Artificial Intelligence 111

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

FEBRUARY 22, 2024

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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Large Language Models Automation ML 130

Towards AI

FEBRUARY 22, 2024

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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Marktechpost

FEBRUARY 22, 2024

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.

Artificial Intelligence 130

Artificial Intelligence Artificial Intelligence AI AI 130

Towards AI

FEBRUARY 22, 2024

Author(s): Pranav Jadhav Originally published on Towards AI. Photo by Alina Grubnyak on Unsplash In this article, I will share my findings in benchmarking and finetuning open-source language models for ReAct (Reasoning + Acting). I demonstrate that finetuning can dramatically improve the accuracy of LLMs in answering multi-hop questions using ReAct.

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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

FEBRUARY 22, 2024

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.

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Towards AI

FEBRUARY 22, 2024

Last Updated on February 22, 2024 by Editorial Team Author(s): Towards AI Editorial Team Originally published on Towards AI. Juggling customer relationships, operations, and profitability can be a nightmare. A Customer Relationship Management system is your secret weapon for streamlining operations, organizing databases, and boosting your bottom line.

Automation 113

Automation Auto-complete AI AI 113

Marktechpost

FEBRUARY 22, 2024

In urban development and environmental studies, accurate and efficient building data extraction from satellite imagery is a cornerstone for myriad applications. This endeavor, while technologically advanced, has faced significant hurdles due to the intricate and variable nature of urban landscapes, especially across China’s diverse urban and rural expanses.

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