Tue.Mar 26, 2024

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9 Best Large Language Model (LLM) Books of All Time

Analytics Vidhya

Introduction Welcome, fellow learners and language enthusiasts! Today, we’re diving into the captivating world of Large Language Models (LLMs) through the lens of literature. Whether you’re an avid reader, a language aficionado, or simply curious about the power of words, join us as we unveil the top 9 LLM books of all time. From intriguing […] The post 9 Best Large Language Model (LLM) Books of All Time appeared first on Analytics Vidhya.

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STFC Hartree Centre signs agreement with Lenovo for state-of-the-art supercomputer

AI News

The Science and Technology Facilities Council (STFC), a UK government agency that carries out research in science and engineering, has signed an agreement with Lenovo for the installation of a powerful new supercomputer for the STFC Hartree Centre. Ten times more powerful than its predecessor, but using less electricity thanks to Lenovo’s direct water cooling, the new supercomputer will power AI research for UK industry The new supercomputer is part of the Hartree Centre’s £210 million Hartree N

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Zoom Introduces Zoom Workplace, an AI-Powered Collaboration Hub 

Analytics Vidhya

Zoom introduces Zoom Workplace, a new platform designed to be the central hub for all your work communication and collaboration needs. This platform leverages AI, specifically Zoom AI Companion, to improve employee skills and make teamwork more efficient. This is going to be an open platform, allowing for easy integration with existing tools and apps, […] The post Zoom Introduces Zoom Workplace, an AI-Powered Collaboration Hub appeared first on Analytics Vidhya.

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How Do Different Generations View Artificial Intelligence?

Unite.AI

AI affects everyone today. Because it’s so prevalent, people will have strong feelings about it, both positive and negative. Understanding these views is important when determining where AI could go from here and how businesses should approach it. Of course, opinions on AI vary between demographics. Some of the most notable discrepancies exist between different age groups.

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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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Can you Hear me Now? AI-coustics uses Generative AI to Fight Video Noise

Analytics Vidhya

Introduction Time to forget grainy calls! A German startup, AI-coustics, emerges from stealth mode with a €1.9 million funding boost. Their secret weapon? Generative AI that promises to revolutionize how we experience sound in videos. Unlike traditional noise suppression, AI-coustics aims to completely transform voice clarity, rewriting the narrative for industries relying on clear audio. […] The post Can you Hear me Now?

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WhatsApp Testing AI Image Editing Feature Alongside Ask Meta Integration

Analytics Vidhya

Introduction WhatsApp is working on exciting new features that could change how we use the app. This includes an AI-powered image editor and integration with Ask Meta AI, a feature that lets you ask questions directly within WhatsApp. While specifics are still under wraps as the features are being tested, they have the potential to […] The post WhatsApp Testing AI Image Editing Feature Alongside Ask Meta Integration appeared first on Analytics Vidhya.

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Delivering the Next Generation of Consumer Experiences: Databricks and Adobe Announce Strategic Partnership

databricks

By Steve Sobel - Global Industry Leader; Communications, Media & Entertainment Today Databricks and Adobe are excited to announce a strategic partnership focused.

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Comprehensive Guide on Linear Dimensionality Analysis

Analytics Vidhya

Introduction Linear Discriminant Analysis (LDA) is a supervised technique used for maximizing class separability. The LDA dimensional reduction technique aims to enhance computational efficiency and mitigate overfitting caused by the curse of dimensionality in non-regularized models like Decision Trees. Linear Discriminant Analysis (LDA) seeks to identify the feature subspace that maximizes the separation between classes. […] The post Comprehensive Guide on Linear Dimensionality Analysis a

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LLM2LLM: UC Berkeley, ICSI and LBNL Researchers’ Innovative Approach to Boosting Large Language Model Performance in Low-Data Regimes with Synthetic Data

Marktechpost

Large language models (LLMs) are at the forefront of technological advancements in natural language processing, marking a significant leap in the ability of machines to understand, interpret, and generate human-like text. However, the full potential of LLMs often remains untapped due to the limitations imposed by the scarcity of specialized, task-specific training data.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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Financial Times Launches AI Chatbot Trained on its own Articles

Analytics Vidhya

The Financial Times (FT) launched a new AI tool called Ask FT for its subscribers. Unlike other AI assistants, Ask FT focuses on answering questions based on the newspaper’s extensive archive of published articles. This means you’ll get reliable answers from the FT’s content rather than information from potentially questionable sources.

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DenseFormer by EPFL Researchers: Enhancing Transformer Efficiency with Depth-Weighted Averages for Superior Language Modeling Performance and Speed

Marktechpost

The transformer architecture has improved natural language processing, with recent advancements achieved through scaling efforts from millions to billion-parameter models. However, larger models’ increased computational cost and memory footprint limit their practicality, benefiting only a few major corporations. Extending training duration necessitates larger datasets, which is challenging as even extensive datasets become insufficient.

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Decision Trees: Split Methods & Hyperparameter Tuning

Analytics Vidhya

Introduction Decision trees, a fundamental tool in machine learning, are used for both classification and regression. With each internal node representing a decision based on a feature and each leaf node representing an outcome, decision trees mirror human decision-making processes, making them accessible and interpretable. Their versatility in handling both numerical and categorical data has […] The post Decision Trees: Split Methods & Hyperparameter Tuning appeared first on Analytics

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Model Innovators: How Digital Twins Are Making Industries More Efficient

NVIDIA

A manufacturing plant near Hsinchu, Taiwan’s Silicon Valley, is among facilities worldwide boosting energy efficiency with AI-enabled digital twins. A virtual model can help streamline operations, maximizing throughput for its physical counterpart, say engineers at Wistron, a global designer and manufacturer of computers and electronics systems. In the first of several use cases, the company built a digital copy of a room where NVIDIA DGX systems undergo thermal stress tests (pictured above).

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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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Alibaba and Baidu Rush to Upgrade Chatbots to Handle Longer Texts

Analytics Vidhya

Introduction China’s biggest generative artificial intelligence (AI) developers, including Baidu and Alibaba Group Holding, have rushed to upgrade their chatbots to handle super-long texts of up to 10 million Chinese characters. The move follows Google, which in February unveiled the latest version of its Gemini large language model (LLM) that achieves a long “context window,” […] The post Alibaba and Baidu Rush to Upgrade Chatbots to Handle Longer Texts appeared first on

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SoftPatch: A Memory-Based Unsupervised Anomaly Detection AD Method that Efficiently Denoises the Data at the Patch Level

Marktechpost

Anomaly detection (AD) is a crucial process in industrial applications, used to identify unexpected events in the input data. This process is often applied to analyze images and detect defects, but it is particularly challenging due to the complexity of the defects, which can be extremely tiny and hard to collect. Unsupervised AD is a key tool in handling this complexity.

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Suno AI: Now Anyone can Create Music of All Genres

Analytics Vidhya

Introduction Have you ever wished you could channel your creative energy into writing songs but struggled to find the right words or melody? Thanks to recent advancements in AI technology, there are now tools that can help spark your songwriting inspiration and guide you through the process with helpful suggestions. One such tool is Suno […] The post Suno AI: Now Anyone can Create Music of All Genres appeared first on Analytics Vidhya.

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Meet Quivr: An Open Source RAG Framework with 38k+ Github Stars

Marktechpost

In our digital world, everyone is always trying to access more data. It becomes increasingly more work to find what we need, recall what we know, and make sense of it as files, emails, papers, and notes pile up like digital clutter. The primary goal of Quivr is to alleviate this information overload, which is a key factor in reducing productivity. The Struggles of Information Management Both people and businesses need help managing their information.

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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Nvidia dropped Chat with RTX, and it’s FREE

Analytics Vidhya

Introduction As technology advances, protecting our privacy becomes increasingly vital. Traditional AI chat options often raise concerns due to their reliance on cloud-based processing. However, NVIDIA’s Chat with RTX introduces a pioneering solution. This cutting-edge application allows users to develop their own AI chatbot directly on their PC, ensuring complete control and security.

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ChatGPT, Author of The Quixote

O'Reilly Media

TL;DR LLMs and other GenAI models can reproduce significant chunks of training data. Specific prompts seem to “unlock” training data. We have many current and future copyright challenges: training may not infringe copyright, but legal doesn’t mean legitimate—we consider the analogy of MegaFace where surveillance models have been trained on photos of minors, for example, without informed consent.

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Comprehensive Guide on Linear Discriminant Analysis

Analytics Vidhya

Introduction Linear Discriminant Analysis (LDA) is a supervised technique used for maximizing class separability. The LDA dimensional reduction technique aims to enhance computational efficiency and mitigate overfitting caused by the curse of dimensionality in non-regularized models like Decision Trees. Linear Discriminant Analysis (LDA) seeks to identify the feature subspace that maximizes the separation between classes. […] The post Comprehensive Guide on Linear Discriminant Analysis app

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This AI Paper from China Proposes a Lightweight Machine Learning Method that Enhances Scalable Structural Inference and Dynamic Prediction Accuracy

Marktechpost

Machine Learning (ML) has become an indispensable tool in recent years for solving a wide range of scientific and practical issues. Model-free machine learning methods have drawn interest for their ability to analyze and forecast complicated dynamics seen in time series data, but these approaches face difficulties when applied to high-dimensional systems with heterogeneous connections and extremely complicated behaviors.

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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[The AI Show Episode 89]: A New In-Depth Sam Altman Interview, The “Inflection Point” for Enterprise Generative AI Adoption, and Inflection AI’s Big Shakeup

Marketing AI Institute

In this week's episode of The Artificial Intelligence Show, our hosts discuss some tough news for generative AI companies from this past week. Paul Roetzer and Mike Kaput break down the biggest happenings and events, including Sam Altman's latest interview with Lex Fridman, Andreessen Horowitz's research on generative AI in the enterprise, major changes occurring at Inflection AI, and more.

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OpenAI Sets Sight on Voice Assistant Market with New ‘Voice Engine’ Trademark

Marktechpost

In a bold move that signals a potential shift in the digital voice assistant market, OpenAI, the maker of ChatGPT, has filed a trademark application for a tool named “Voice Engine.” This strategic step could position OpenAI as a tough competitor to established tech giants like Apple, Amazon, and Google, whose products, Siri, Alexa, and Google Assistant, currently dominate the market.

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How AI is Redefining Education for Good

Towards AI

Last Updated on March 26, 2024 by Editorial Team Author(s): Louis-François Bouchard Originally published on Towards AI. AI’s Impact on Traditional Education The future of education is one of three options: having AI do all we want and becoming useless,fully controlling students,or providing all the help and material they need for a better but different education.

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AI’s Thirst for Power: Can Nuclear Fusion Quench It?

Marktechpost

As the capabilities of artificial intelligence (AI) continue to expand, so too does its appetite for energy. The intersection of AI’s potential to revolutionize industries and its environmental impact presents a paradox that the tech world is eager to solve. Among the voices offering a solution is Sam Altman, CEO of OpenAI and the mind behind ChatGPT, who posits that nuclear fusion could be the key to fueling the next generation of AI without exacerbating the planet’s climate crisis.

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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.

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How To Improve Your Rag System for More Efficient Question-Answering

Towards AI

Last Updated on March 26, 2024 by Editorial Team Author(s): Eivind Kjosbakken Originally published on Towards AI. Improve your RAG system with tools learned in this article This article continues my last article on making a RAG system. This article will improve on the RAG system developed in the previous article by splitting the data more intuitively, giving the RAG system more options for retrieval, and using a better LLM.

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BrainBox AI Launches ARIA: The World’s First Generative AI-Powered Virtual Building Assistant

Marktechpost

BrainBox AI has introduced a new Generative AI-Powered Virtual Building Assistant named ARIA , which is changing how buildings are managed. ARIA uses advanced AI technology to help facility managers and building operators run things more smoothly, save energy, and reduce pollution. Simplifying Building Management ARIA is like a smart assistant for buildings, helping manage everything from energy use to daily operations.

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Five Sorting Algorithms That Ran The World

Towards AI

Last Updated on March 26, 2024 by Editorial Team Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. A Practical Guide to Sorting algorithms in action The evolution of sorting algorithms is a fascinating journey through the history of computer science, reflecting the continuous quest for efficiency and speed in data processing.