Thu.Nov 23, 2023

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Enhancing Podcast Accessibility: A Guide to LLM Text Highlighting

Analytics Vidhya

Introduction Imagine loving a podcast and wishing to remember the best bits, but it’s all sound, no text. What do you do? That’s where cool tools like LLMs and Audio-to-Text translators step in. They magically turn spoken words into written notes, letting you easily pick out the gems and create handy bullet points. So, your […] The post Enhancing Podcast Accessibility: A Guide to LLM Text Highlighting appeared first on Analytics Vidhya.

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Inflection-2 beats Google’s PaLM 2 across common benchmarks

AI News

Inflection , an AI startup aiming to create “personal AI for everyone”, has announced a new large language model dubbed Inflection-2 that beats Google’s PaLM 2. Inflection-2 was trained on over 5,000 NVIDIA GPUs to reach 1.025 quadrillion floating point operations (FLOPs), putting it in the same league as PaLM 2 Large. However, early benchmarks show Inflection-2 outperforming Google’s model on tests of reasoning ability, factual knowledge, and stylistic prowess.

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Beyond the Buzz: Exploring the Practical Applications of Generative AI in Industries

Analytics Vidhya

Introduction The world today is buzzing around the term ‘Generative AI’. Top tech and management firms including McKinsey, KPMG, Gartner, and Bloomberg are constantly researching to gauge the power of this new technology and predict its future. All these studies show that the rising impact of generative AI in the enterprise has made it an […] The post Beyond the Buzz: Exploring the Practical Applications of Generative AI in Industries appeared first on Analytics Vidhya.

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AI News Weekly - Issue #360: How to talk about the OpenAI drama at Thanksgiving dinner - Nov 23rd 2023

AI Weekly

Powered by superai.com In the News How to talk about the OpenAI drama at Thanksgiving dinner You’ve just landed in Dayton, Ohio after a long, overnight journey from SFO. While you were waiting in Denver on a layover, you checked your phone to see the news: After almost a week of confusion and uncertainty, Sam Altman has been reinstated as CEO of OpenAI. techcrunch.com Sponsor Where AI meets the world: SuperAI | 28-29 February 2024, Singapore Join 5,000+ attendees for the premier AI event, 28-29

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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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Exploring Uses AI for Science with Anima Anandkumar

Analytics Vidhya

Join us for a fascinating journey into the world of AI and scientific breakthroughs with Anima Anandkumar. In this engaging podcast, Anandkumar, a respected Bren Professor at Caltech and Senior Director of AI Research at NVIDIA shares insights into the basics of AI thinking, its cross-disciplinary impact, and the game-changing tensor methods. From tackling weather […] The post Exploring Uses AI for Science with Anima Anandkumar appeared first on Analytics Vidhya.

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Letter that led to Altman’s Exit?

Analytics Vidhya

In the ever-evolving landscape of artificial intelligence, OpenAI has stood out as a beacon of innovation. However, the company recently found itself in the eye of a storm that led to the ousting of its CEO, Sam Altman. Supposedly, the catalyst for this dramatic turn was a letter from concerned OpenAI researchers. The letter warned […] The post Letter that led to Altman’s Exit?

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How Hackers Are Using AI To Steal Your Bank Account Password

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Information theft is far from a novel issue. Since the internet exploded in the early 2000s, hackers have taken advantage of security loopholes to infiltrate devices and siphon vital information that.

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Researchers from Microsoft Research and Tsinghua University Proposed Skeleton-of-Thought (SoT): A New Artificial Intelligence Approach to Accelerate Generation of LLMs

Marktechpost

Large Language Models (LLMs), such as GPT-4 and LLaMA, have undoubtedly transformed the technological landscape. However, sluggish processing speed is a recurring challenge limiting their widespread applicability. Despite their remarkable capabilities, the time it takes to obtain responses from LLMs hinders their effectiveness, particularly in latency-critical applications like chatbots, copilots, and industrial controllers.

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How algorithms determine what you'll buy for the holidays — and beyond

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We've all been there: Scrolling through social media and spotting the ads recommending something you never knew you needed, whether it's the perfect …

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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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This AI Paper Proposes ML-BENCH: A Novel Artificial Intelligence Approach Developed to Assess the Effectiveness of LLMs in Leveraging Existing Functions in Open-Source Libraries

Marktechpost

LLM models have been increasingly deployed as potent linguistic agents capable of performing various programming-related activities. Despite these impressive advances, a sizable chasm still separates the capabilities demonstrated by these models in static experimental settings from the ever-changing demands of actual programming scenarios. Standard code generation benchmarks test how well LLM can generate new code from scratch.

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OpenAI's reported 'superintelligence' breakthrough is so big it nearly destroyed the company, and ChatGPT

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It now seems entirely possible that ChatGPT parent company OpenAI has solved the 'superintelligence' problem, and is now grappling with the …

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NVIDIA AI Researchers Propose Tied-Lora: A Novel Artificial Intelligence Approach that Aims to Improve the Parameter Efficiency of the Low-rank Adaptation (LoRA) Methods

Marktechpost

A group of researchers from Nvidia have developed a new technique called Tied-LoRA, which aims to improve the parameter efficiency of the Low-rank Adaptation (LoRA) method. The course uses weight tying and selective training to find the optimal balance between performance and trainable parameters. The researchers conducted experiments on different tasks and base language models and found that there are trade-offs between efficiency and performance.

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A computer scientist explains how quantum advantage could change the world

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Several companies have made quantum computers, but these early models have yet to demonstrate quantum advantage: the ability to outstrip ordinary supercomputers.

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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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This AI Paper Introduces ?-SO: A Physical Symbolic Optimization Framework that Uses Deep Reinforcement Learning to Discover Physical Laws from Data

Marktechpost

Artificial Intelligence and Deep learning have brought about some great advancements in the field of technology. They are enabling robots to perform activities that were previously thought to be limited to human intelligence. AI is changing the way humans approach problems and bringing revolutionary transformations and solutions to almost every industry.

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Scientists Warn That AI Threatens Science Itself

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"Our tendency to anthropomorphize machines and trust models as human-like truth-tellers — consuming and spreading the bad information that they …

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Decoding Complex AI Models: Purdue Researchers Transform Deep Learning Predictions into Topological Maps

Marktechpost

The highly parameterized nature of complex prediction models makes describing and interpreting the prediction strategies difficult. Researchers have introduced a novel approach using topological data analysis (TDA), to solve the issue. These models, including machine learning, neural networks, and AI models, have become standard tools in various scientific fields but are often difficult to interpret due to their extensive parameterization.

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5 Free Courses to Master Machine Learning

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Are you excited to learn about and build machine learning models? Start learning today with these free machine learning courses.

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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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Real AI Wins Project to Build Europe’s Open Source Large Language Model

Marktechpost

During Data Science Conference 2023 in Belgrade on Thursday, 23 November, it was announced that Real AI won the ISCRA project. Real AI is chosen to build Europe’s first-ever Human-Centered LLM on the world’s 4th largest AI Computer Cluster ‘LEONARDO’. LEONARDO – the World’s 4the Largest AI Cluster The Leonardo supercomputer, located at the CINECA data center in Bologna, is a high-performance computing powerhouse.

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OpenAI reportedly made a potentially scary AI breakthrough

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Staff researchers had warned the previous Board about the potential of this breakthrough, thus triggering Altman's exit. The drama around OpenAI, the creators of ChatGPT, seems to have ended with the reappointment of Sam Altman as the CEO. Or has it?

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Would You Use ANOVA for Feature Selection?

Towards AI

Last Updated on November 24, 2023 by Editorial Team Author(s): Sai Viswanth Originally published on Towards AI. Know A-Z of ANOVA with an interesting dataset.Photo by Elimende Inagella on Unsplash We often forget the most crucial step when developing a Machine learning model — Feature Selection. Not selecting the right features correlated to the target variable can prevent your model from reaching the potential performance.

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All the AI terms you need to know

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New technologies always arrive bearing new vocabularies. Here's a guide to the lingo of artificial intelligence.

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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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MakeBlobs + Fictional Synthetic Data A New(ish) Use Case

Towards AI

Last Updated on November 24, 2023 by Editorial Team Author(s): Adam Ross Nelson Originally published on Towards AI. Breathing new life into your projects (and your data science practice) with this lesser-known SkLearn module From the west edition of the Open Data Science Conference (ODSC), one of the “buzziest” panels was on the topic of synthetic data.

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Image Vector Representation for Machine Learning Using OpenCV

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One of the pre-processing steps that are often carried out on images before feeding them into a machine learning algorithm is to convert them into a feature vector. As we will see in this tutorial, there are several advantages to converting an image into a feature vector that makes the latter more efficient. Among the […] The post Image Vector Representation for Machine Learning Using OpenCV appeared first on MachineLearningMastery.com.

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This AI Research Presents Drivable 3D Gaussian Avatars (D3GA): The First 3D Controllable Model for Human Bodies Rendered with Gaussian Splats

Marktechpost

The Impressionist art movement was founded in the nineteenth century by the Anonymous Society of Painters, Sculptors, Printmakers, etc., and is characterized by “short, broken brushstrokes that barely convey forms.” Recent studies now render human subjects as realistically as possible in photographs, a challenge that the impressionists avoided.

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Church Entirely Devoted To Worshiping AI Gets a Reboot

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A church dedicated to worshiping and developing artificial intelligence called Way of the Future is coming back to life.

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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 LlaVA: The Very Popular Open Source Alternative to GPT-4V

TheSequence

Created Using DALL-E Today, we celebrate the Thanksgiving holiday in the United States when it is customary to give thanks for our blessings during the last year. I wanted to take a moment to express my gratitude for your support of this newsletter. Writing this amount of deeply technical content on a weekly basis is not easy, particularly considering I have operational responsibilities in three other companies.

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How AI Is Revolutionizing the Production of Perovskite Solar Cells

Flipboard

The production of perovskite solar cells is undergoing a transformation through the integration of artificial intelligence (AI) and machine learning.

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EmotiVoice: Keys to Emotional Speech Synthesis

Marktechpost

Explore the realm of EmotiVoice, developed by NetEase Youdao, a state-of-the-art voice synthesis TTS engine. This open-source masterpiece features a cast of two thousand voices that sing in both Chinese and English. EmotiVoice’s distinctive feature is its capacity to incorporate feelings into synthetic speech. The cornerstone feature of EmotiVoice is emotion synthesis, which allows users to create expressive speech using a wide range of emotions.