Mon.Mar 04, 2024

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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 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.

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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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AIs in India will need government permission before launching

AI News

In an advisory issued by India’s Ministry of Electronics and Information Technology (MeitY) last Friday, it was declared that any AI technology still in development must acquire explicit government permission before being released to the public. Developers will also only be able to deploy these technologies after labelling the potential fallibility or unreliability of the output generated.

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How To Get Promoted In Product Management

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.

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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.

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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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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

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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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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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Navigating the Future: Generative AI, Application Analytics, and Data

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?

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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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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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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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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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Understanding User Needs and Satisfying Them

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.

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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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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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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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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

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.

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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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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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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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This AI Paper from CMU Introduce OmniACT: The First-of-a-Kind Dataset and Benchmark for Assessing an Agent’s Capability to Generate Executable Programs to Accomplish Computer Tasks

Marktechpost

In an era of ubiquitous digital interfaces, the quest to refine the interaction between humans and computers has led to significant technological strides. A pivotal area of focus is automating the mundane and repetitive tasks that require unyielding human supervision, aiming for a future where computers can execute complex directives with scant human input.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

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.

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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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This Machine Learning Paper Presents a General Data Generation Process for Non-Stationary Time Series Forecasting

Marktechpost

One of the cornerstone challenges in machine learning, time series forecasting has made groundbreaking contributions to several domains. However, forecasting models can’t generalize the distribution shift that changes with time because time series data is inherently non-stationary. Based on the assumptions about the inter-instance and intra-instance temporal distribution shifts, two main types of techniques have been suggested to address this issue.

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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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UC Berkeley Researchers Introduce the Touch-Vision-Language (TVL) Dataset for Multimodal Alignment

Marktechpost

Almost all forms of biological perception are multimodal by design, allowing agents to integrate and synthesize data from several sources. Linking modalities, including vision, language, audio, temperature, and robot behaviors, have been the focus of recent research in artificial multimodal representation learning. Nevertheless, the tactile modality is still mostly unexplored when it comes to multimodal comprehension.

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Embedding BI: Architectural Considerations and Technical Requirements

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.

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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.

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Efficiently Processing Extended Contexts in Large Language Models: Dual Chunk Attention for Training-Free Long-Context Support

Marktechpost

From producing writing that resembles that of a human being to comprehending subtleties of language, Large Language Models (LLMs) have played a key role in attaining state-of-the-art performance in various Natural Language Processing (NLP) applications. However, their efficacy wanes when processing texts exceeding their training length, limiting their utility for comprehensive document analysis or extended dialogues.

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How to Enhance Your Prompting Skills

Towards AI

Author(s): Jelle Van Bost Originally published on Towards AI. Simple Strategies to Become a More Effective Prompt EngineerImage generated by the author on Adobe Firefly Generative AI has captivated me for years now. Generating images from my imagination and getting personalised insights with a simple question is incredible. Since the release of chatGPT, I’ve started using it in my daily life, using it to learn, understand complex ideas, and boost my productivity.