Analytics Vidhya

DECEMBER 5, 2023

Singapore has set its sights on the field of Artificial Intelligence. With the launch of National AI Strategy (NAIS) 2.0, the city-state plans to triple its AI workforce to 15,000 within the next 3-5 years. This ambitious initiative is poised to reshape not only Singapore’s technological landscape but also its societal fabric. Talent Through Apprenticeship […] The post Singapore to Triple its AI Workforce appeared first on Analytics Vidhya.

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Unite.AI

DECEMBER 5, 2023

AI is transforming the way we work, and it's happening faster than you think. Over 100M people already use ChatGPT every week , and more than half of employees say they use AI tools at work. While there's no question that AI will help certain types of people to do their jobs better, many people are worried that it will actually replace the need for people to do certain jobs at all.

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Analytics Vidhya

DECEMBER 5, 2023

Introduction Has contributing to the realm of artificial intelligence been your passion? Your dream entry into this field requires expertise and hands-on experience in natural language processing. Get job-ready with in-depth knowledge and application skills of different Large Language Models (LLMs). Mimicking human intelligence, GPT-4, Llama, Falcon, and many more LLMs are not just the […] The post How to Get Job Ready in the World of Large Language Models?

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Unite.AI

DECEMBER 5, 2023

In a bold move that signals a significant shakeup in the artificial intelligence landscape, Elon Musk's xAI, is on a mission to secure a substantial $1 billion in funding. Already on a promising trajectory, xAI has amassed nearly $135 million, as per a recent filing with the Securities and Exchange Commission. xAI was unveiled earlier this year with a clear vision: to redefine the boundaries of generative AI.

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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

DECEMBER 5, 2023

Introduction In the ever-evolving realm of technology, Artificial Intelligence (AI) has emerged as a transformative force. From its humble origins in basic algorithms to the sophistication of modern machine learning models, the AI journey has indeed been revolutionary. Now, a captivating chapter unfolds with the advent of Generative AI Libraries in Search.

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Analytics Vidhya

DECEMBER 5, 2023

Introduction In the dynamic landscape of technology, Autonomous AI Agents have emerged as transformative entities, reshaping how we interact with data and artificial intelligence. As we delve into this fascinating realm, it becomes evident that these agents are more than mere programs—they represent a paradigm shift in integrating AI into our daily lives.

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IBM Journey to AI blog

DECEMBER 5, 2023

As the retail industry witnesses a shift towards a more digital, on-demand consumer base, AI is becoming the secret weapon for retailers to better understand and cater to this evolving consumer behavior. With the rise of highly personalized online shopping, direct-to-consumer models, and delivery services, generative AI can help retailers further unlock a host of benefits that can improve customer care, talent transformation and the performance of their applications.

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Analytics Vidhya

DECEMBER 5, 2023

The research team at UC Berkeley introduces Starling-7B, an open-source large language model (LLM) that employs Reinforcement Learning from AI Feedback (RLAIF). Leveraging the power of the cutting-edge GPT-4 labeled ranking dataset, Nectar, and a sophisticated reward training and policy tuning pipeline, Starling-7B-alpha has set a new standard in language model performance, outshining all models […] The post Starling-7B: LLM with Reinforcement Learning from AI Feedback appeared first on An

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AI News

DECEMBER 5, 2023

The concept of the “last mile problem” is widely recognised across various industries as the challenges faced in the final stage of delivering services or products from a central system to the end user’s location. Although typically associated with telecommunications and transportation, its application extends far beyond these domains.

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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

DECEMBER 5, 2023

In a significant stride towards responsible AI innovation, IBM and Meta have jointly launched the AI Alliance. It unites over 50 prominent organizations globally. This collaborative effort aims to foster open and transparent innovation in artificial intelligence (AI). The priority is on safety, diversity, and economic opportunity. The alliance includes renowned entities such as AMD, […] The post IBM and META Forms AI Alliance for Responsible Innovation appeared first on Analytics Vidhya.

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IBM Journey to AI blog

DECEMBER 5, 2023

Enhancing the customer experience through customer service is among the most important disciplines for any organization for one simple reason: without customers, organizations would fail overnight. Customer service, sometimes called customer care or customer support, relates to the activities organizations take to ensure their customers’ needs are being met.

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Flipboard

DECEMBER 5, 2023

Elon Musk is looking to raise 1/44 of a Twitter for his AI company, xAI. In other words, the man behind Tesla, SpaceX and X is seeking $1 billion in funding for his next venture.

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Marktechpost

DECEMBER 5, 2023

Large Language Models (LLMs), like GPT, PaLM, LLaMA, etc., have attracted much interest because of their incredible capabilities. Their ability to utilize the strength of Natural Language Processing, Generation, and Understanding by generating content, answering questions, summarizing text, and so on have made LLMs the talk of the town in the last few months.

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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.

Flipboard

DECEMBER 5, 2023

Can AI safety shed any light on old corporate governance problems? And can the law and economics of corporate governance help us frame the new problems of AI safety? The author identifies five lessons — and one dire warning — on the corporate governance of AI and other socially sensitive technologies that have been made vivid by the corporate turmoil at OpenAI.

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Marktechpost

DECEMBER 5, 2023

A group of researchers from various institutions, including the University of Pittsburgh, Weill Cornell Medicine, Telemedicine & Advanced Technology Research Center, Uniformed Services University, Brooke Army Medical Center, and University of Pittsburgh Medical Center have examined the ethical principles of generative AI in healthcare, particularly focusing on transparency, bias modeling, and ethical decision-making concerns.

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Flipboard

DECEMBER 5, 2023

With machine learning, scientists are trying to chemically define the murky concept of terroir. The models might be useful for detecting wine fraud. In the Bordeaux region of southwest France, scores of vineyard estates transform finicky grapes into bold blends of red wine.

Machine Learning 181

Machine Learning 181

Marktechpost

DECEMBER 5, 2023

Diffusion models are used for generating high-quality samples from complex data distributions. Discriminative diffusion models aim to leverage the principles of diffusion models for tasks like classification or regression, where the goal is to predict labels or outputs for a given input data. By leveraging the principles of diffusion models, discriminative diffusion models offer advantages such as better handling of uncertainty, robustness to noise, and the potential to capture complex dependenc

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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

Flipboard

DECEMBER 5, 2023

Researchers have created an artificial intelligence tool that is capable of tracing wines back to their origins, using a chemical analysis that can warn consumers of potential fraudsters.

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Marktechpost

DECEMBER 5, 2023

Machine learning has emerged as a very important tool in healthcare, revolutionizing various aspects of the industry. One of its primary applications lies in diagnostics, where machine learning algorithms analyze vast datasets, including medical images, genetic information, and patient records, to identify patterns and make accurate predictions. Earlier, machine learning models were used to detect patients susceptible to infection and support Infection Prevention and Control (IPC) programs.

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Flipboard

DECEMBER 5, 2023

Amid the AI land grab, open source models whose code is available to anyone to modify and use are catching up to their proprietary counterparts. They’re getting bigger (Meta’s Llama 2 is trained on 70 billion parameters) and even getting better than ChatGPT at performing specific tasks.

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Machine Learning Mastery

DECEMBER 5, 2023

The Random Forest algorithm forms part of a family of ensemble machine learning algorithms and is a popular variation of bagged decision trees. It also comes implemented in the OpenCV library. In this tutorial, you will learn how to apply OpenCV’s Random Forest algorithm for image classification, starting with a relatively easier banknote dataset and […] The post Random Forest for Image Classification Using OpenCV appeared first on MachineLearningMastery.com.

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Algorithm Machine Learning 113

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.

Flipboard

DECEMBER 5, 2023

We could get our first look at Gemini in action later this week. Google has been working on a new large language model (LLM) called Gemini that will eventually replace its current PaLM 2 AI architecture.

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Marktechpost

DECEMBER 5, 2023

Researchers from the University of Southern California, the University of Washington, Bar-Ilan University, and Google Research introduced DreamSync, which addresses the problem of enhancing alignment and aesthetic appeal in diffusion-based text-to-image (T2I) models without the need for human annotation, model architecture modifications, or reinforcement learning.

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Flipboard

DECEMBER 5, 2023

If we’re not careful, Microsoft, Amazon, and other large companies will leverage their position to set the policy agenda for AI, as they have in many …

AI 181

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Marktechpost

DECEMBER 5, 2023

Human Activity Recognition (HAR) is a field of study that focuses on developing methods and techniques to automatically identify and classify human activities based on data collected from various sensors. HAR aims to enable machines like smartphones, wearable devices, or smart environments to understand and interpret human activities in real-time. Traditionally, wearable sensor-based and camera-based methods were used.

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Deep Learning AI Researcher AI Research AI 109

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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

Flipboard

DECEMBER 5, 2023

Researchers advanced brain imaging and machine learning to uncover altered functional brain connectivity in individuals with Autism Spectrum Disorder …

Machine Learning 181

Machine Learning 181

Marketing AI Institute

DECEMBER 5, 2023

A new week, a new update from OpenAI… Paul Roetzer and Mike Kaput cover everything from OpenAI's official CEO announcement to Amazon's introduction of Q, discuss the potential risks associated with generative AI, and touch upon Google's recent decision to postpone their AI software release. With so much happening in the AI landscape, we're here to keep you informed.

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Flipboard

DECEMBER 5, 2023

A global rush for the next wave of generative artificial intelligence is increasing public scrutiny on Big Tech's expanding water footprint.

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