Mon.Mar 04, 2024

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ChefGPT: AI Chef in Your Pocket

Analytics Vidhya

Introduction Introducing ChefGPT, your ultimate culinary companion! This innovative AI chef app elevates your cooking experience, offering seamless meal planning, curated recipes, and expert guidance for preparing delectable dishes. ChefGPT is your passport to culinary excellence, making every meal a delightful masterpiece, whether a kitchen pro or a novice.

AI 336
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How to become an AI+ enterprise

IBM Journey to AI blog

We have all been witnessing the transformative power of generative artificial intelligence (AI), with the promise to reshape all aspects of human society and commerce while companies simultaneously grapple with acute business imperatives. In 2024, companies confront significant disruption, requiring them to redefine labor productivity to prevent unrealized revenue, safeguard the software supply chain from attacks, and embed sustainability into operations to maintain competitiveness.

AI 312
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This AI Worm can Steal your Confidential Data!

Analytics Vidhya

Researchers have created a new AI worm – Morris II, that can steal confidential data, send spam emails, and spread malware using various methods. Named after the first worm that rocked the internet in 1988, the research paper suggests that the generative AI worm can spread itself between artificial intelligence systems. What are AI Worms? […] The post This AI Worm can Steal your Confidential Data!

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5G advantages and disadvantages: What business leaders need to know

IBM Journey to AI blog

If you’re in the technology sector (or really, if you’re involved in any business that relies on digital technology at all), you’ve likely heard the buzz around 5G. The latest high-speed cellular network standard is poised to transform wireless connectivity as we know it and usher in a new age of digital transformation. Like any new technology, however, it’s wise to take a step back and consider the pros and cons before diving in.

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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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Google Apologizes Over Gemini’s ‘Unreliable’ Response on PM Narendra Modi

Analytics Vidhya

Introduction In a surprising turn of events, tech giant Google apologizes to India over the controversial results generated by its AI platform, Gemini, about Prime Minister Narendra Modi. The apology came after GOI sought to explain the AI’s questionable output. The reliability of the AI platform has been called into question, leading to a public […] The post Google Apologizes Over Gemini’s ‘Unreliable’ Response on PM Narendra Modi appeared first on Analytics Vidhya

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How to use Orbo AI? | Tech Solutions for Beauty Brands

Analytics Vidhya

Introduction Generative AI is revolutionizing various industries, and the beauty sector is no exception. Today, we have numerous powerful tools supporting this industry. Orbo AI stands out as one such tool, providing a comprehensive suite of AI-powered features to enhance natural beauty and boost confidence. Whether you’re an experienced makeup enthusiast or simply curious about […] The post How to use Orbo AI?

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AI Optimism vs. Skepticism: Why Are the Knowledge Workers Confused?

Unite.AI

Artificial Intelligence (AI) is one of the most transformative technologies of the present time, with the potential to revolutionize various domains such as education, health, business, and entertainment. However, AI poses significant challenges and risks, such as ethical, social, legal, and economic implications. As a result, there is a wide range of opinions and attitudes towards AI, from optimism to skepticism, among stakeholders, especially the knowledge workers directly or indirectly affect

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What is AWS EMR? Here’s Everything you Need to Know

Analytics Vidhya

Introduction How do you tackle the challenge of processing and analyzing vast amounts of data efficiently? This question has plagued many businesses and organizations as they navigate the complexities of big data. From log analysis to financial modeling, the need for scalable and flexible solutions has never been greater. Enter AWS EMR, or Amazon Elastic […] The post What is AWS EMR?

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Reimagine Your Space with AI: How to Transform Your Home in 2024

Unite.AI

In today’s fast-paced world, interior design has taken a leap into the future with the integration of artificial intelligence (AI). The power of AI tools in interior design opens up a realm of possibilities, making the process of transforming spaces not just easier but also more exciting and accessible to everyone. Whether you are a homeowner looking to refresh your living space, a professional interior designer seeking inspiration, or someone with no design experience at all, AI interior design

AI 147
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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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Government’s New Directive: Tech Companies Must Seek Permission Before Launching AI Models in India

Analytics Vidhya

Introduction In a significant development, the Indian government has mandated tech companies to obtain prior approval before deploying AI models in the country. This landmark decision reflects the government’s proactive approach to addressing rising concerns surrounding the potential risks and ethical considerations associated with AI technology.

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AI in Higher Education – Balancing the Risks and Rewards

Unite.AI

A significant portion of the discussion around generative AI tools has focused on the challenges related to academic integrity and AI plagiarism. Cheating has dominated the discourse. As a result, many administrators and instructors’ primary focus has been a search for tools that uncover AI-generated writing. For higher education leaders today, the search for reliable AI detection tools may be a futile one.

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Indosat Ooredoo Hutchison and Tech Mahindra Collaborate to Develop Garuda LLM

Analytics Vidhya

Introduction Indosat Ooredoo Hutchison (IOH) and Tech Mahindra have partnered to create Garuda LLM, a Language Model (LLM) explicitly tailored for Bahasa Indonesia and its diverse dialects. It will be developed on the principle of Project Indus. A fundamental model crafted to engage in conversations across a diverse range of Indic languages and dialects.

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Unlocking Innovation: AWS and Anthropic push the boundaries of generative AI together

AWS Machine Learning Blog

Amazon Bedrock is the best place to build and scale generative AI applications with large language models (LLM) and other foundation models (FMs). It enables customers to leverage a variety of high-performing FMs, such as the Claude family of models by Anthropic, to build custom generative AI applications. Looking back to 2021, when Anthropic first started building on AWS, no one could have envisioned how transformative the Claude family of models would be.

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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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A Must Read: 15 Best Python Books For You!

Analytics Vidhya

Introduction There is no shortage of resources available online and offline when it comes to learning Python. However, not all Python books are created equal. Some are better suited for beginners, while others cater to more advanced programmers or those with specialized interests. In this article, you will get to know the best Python books […] The post A Must Read: 15 Best Python Books For You!

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This Machine Learning Paper from Microsoft Proposes ChunkAttention: A Novel Self-Attention Module to Efficiently Manage KV Cache and Accelerate the Self-Attention Kernel for LLMs Inference

Marktechpost

Developing large language models (LLMs) in artificial intelligence represents a significant leap forward. These models underpin many of today’s advanced natural language processing tasks and have become indispensable tools for understanding and generating human language. However, these models’ computational and memory demands, especially during inference with long sequences, pose substantial challenges.

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Alida gains deeper understanding of customer feedback with Amazon Bedrock

AWS Machine Learning Blog

This post is co-written with Sherwin Chu from Alida. Alida helps the world’s biggest brands create highly engaged research communities to gather feedback that fuels better customer experiences and product innovation. Alida’s customers receive tens of thousands of engaged responses for a single survey, therefore the Alida team opted to leverage machine learning (ML) to serve their customers at scale.

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Revolutionizing AI: Introducing the Claude 3 Model Family for Enhanced Cognitive Performance

Marktechpost

Artificial intelligence (AI) is rapidly evolving, with researchers tirelessly working to enhance its capabilities and applications. At the forefront of this innovation are generative models pushing the boundaries of what machines can understand and create. With each passing day, the improvements in state-of-the-art models are getting significantly optimistic with improved results.

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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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StreamNative and Databricks Unite to Power Real-Time Data Processing with Pulsar-Spark Connector

databricks

StreamNative, a leading Apache Pulsar-based real-time data platform solutions provider, and Databricks, the Data Intelligence Platform, are thrilled to announce the enhanced Pulsar-Spark.

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Can AI Think Better by Breaking Down Problems? Insights from a Joint Apple and University of Michigan Study on Enhancing Large Language Models

Marktechpost

In the rapidly evolving field of artificial intelligence, the development and application of large language models (LLMs) stand at the forefront of innovation, offering unparalleled data processing and analysis capabilities. These sophisticated models, characterized by their vast parameter spaces, have demonstrated exceptional proficiency in various tasks, from natural language processing to complex problem-solving.

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Ransomware Ring Hits Pharmaceutical Industry, Limiting Drug Access for Millions of Americans

Extreme Tech

ALPHV, a Russian-speaking ransomware gang, is thought to have disabled a network responsible for directing insurance claims to pharmacies.

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Qualcomm AI Research Proposes the GPTVQ Method: A Fast Machine Learning Method for Post-Training Quantization of Large Networks Using Vector Quantization (VQ)

Marktechpost

Efficiency of Large Language Models (LLMs) is a focal point for researchers in AI. A groundbreaking study by Qualcomm AI Research introduces a method known as GPTVQ, which leverages vector quantization (VQ) to enhance the size-accuracy trade-off in neural network quantization significantly. This approach deals with the challenges of extensive parameter counts in LLMs.

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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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HP’s 'All-In' Printer Rental Watches Everything You Print, Tells HP All About It

Extreme Tech

It supposedly doesn't monitor the contents of your pages, but it knows just about everything else.

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Maximizing Efficiency in AI Training: A Deep Dive into Data Selection Practices and Future Directions

Marktechpost

The recent success of large language models relies heavily on extensive text datasets for pre-training. However, indiscriminate use of all available data may not be optimal due to varying quality. Data selection methods are crucial for optimizing training datasets and reducing costs and carbon footprint. Despite the expanding interest in this area, limited resources hinder extensive research.

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Robo Rendezvous: Robotics Innovators and AI Leaders to Converge at NVIDIA GTC

NVIDIA

Bringing together pioneers in robotics and AI, NVIDIA GTC will be a state-of-the-art showcase of applied AI for autonomous machines. The conference, running March 18-21 at the San Jose Convention Center and online, boasts a star-studded lineup. This includes a fireside chat with Marc Raibert, executive director of The AI Institute, and Dieter Fox, senior director of robotics research at NVIDIA, as well as panels featuring heavyweights like Disney, Google DeepMind and Amazon, alongside insights f

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Google DeepMind Introduces Two Unique Machine Learning Models, Hawk And Griffin, Combining Gated Linear Recurrences With Local Attention For Efficient Language Models

Marktechpost

Artificial Intelligence (AI) and Deep Learning, with a focus on Natural Language Processing (NLP), have seen substantial changes in the last few years. The area has advanced quickly in both theoretical development and practical applications, from the early days of Recurrent Neural Networks (RNNs) to the current dominance of Transformer models. Models that are capable of processing and producing natural language with efficiency have advanced significantly as a result of research and development i

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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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Understanding Attention Mechanisms: Basis for Chat GPT3 and LLMs

Towards AI

Author(s): Sai Viswanth Originally published on Towards AI. Practical Implementation of the Attention Mechanism on 2 different sentences.Photo by Andrew Neel on Unsplash The surge of large language models used in AI applications such as the Chat GPT 3, Github Co-pilot, and so on was possible because of this groundbreaking concept called the Attention Mechanism introduced in the paper Attention is All You Need in 2017.

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This AI Paper Introduces BABILong Framework: A Generative Benchmark for Testing Natural Language Processing (NLP) Models on Processing Arbitrarily Lengthy Documents

Marktechpost

Advances in the field of Machine Learning in recent times have resulted in larger input sizes for models. However, the quadratic scaling of computing needed for transformer self-attention poses certain limitations. Recent research has presented a viable method for expanding context windows in transformers with the use of recurrent memory. This includes adding internal recurrent memory to an already-trained language model and optimizing it for certain tasks involving lengthy contexts divided into

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Inside Genie: Google DeepMind’s Super Model that can Generate Interactive Games from Text and Images

Towards AI

Last Updated on March 4, 2024 by Editorial Team Author(s): Jesus Rodriguez Originally published on Towards AI. Created Using DALL-E I recently started an AI-focused educational newsletter, that already has over 165,000 subscribers. TheSequence is a no-BS (meaning no hype, no news, etc) ML-oriented newsletter that takes 5 minutes to read. The goal is to keep you up to date with machine learning projects, research papers, and concepts.