Fri.Jul 21, 2023

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Top 7 NLP Books Every Data Scientist Must Read

Analytics Vidhya

Introduction Recent advances in natural language processing (NLP) are essential for data scientists to stay on top. NLP books are priceless sources that provide in-depth knowledge, practical guidance, and cutting-edge techniques in the field. We will examine the 8 best NLP books in this article, which are essential reading for data scientists. The principles of […] The post Top 7 NLP Books Every Data Scientist Must Read appeared first on Analytics Vidhya.

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Artists Behind Neural Network Models: The Impact of AI on the Creator Economy

Unite.AI

The regulation of AI in the arts is a hot topic. The music industry is unique as several music labels control the licenses to most of the music that has been produced in the past half a century. Most, but not all. Derivative music is created using material to make a new composition or sound recording from a pre-existing work. This has created a gray area because the input, or original composition, is also usually protected by copyright.

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How To Get A Data Science Job? [Decoded In 8 Simple Steps]

Analytics Vidhya

The promising career in the data science field has led to an increase in competition. With numerous candidates competing hard to get the role, the opportunities often land in the lap of the right skilled and experience holders with effective communication. All the prerequisites and the answer to how to get a data science job […] The post How To Get A Data Science Job?

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AI Transparency and the Need for Open-Source Models

Unite.AI

In order to protect people from the potential harms of AI, some regulators in the United States and European Union are increasingly advocating for controls and checks and balances on the power of open-source AI models. This is partially motivated by the desire of major corporations to control AI development and to shape the development of AI in a way that benefits them.

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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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Swiggy Follows Zomato and Blinkit in Integrating Generative AI

Analytics Vidhya

Swiggy, the renowned food delivery platform, embraces the potential of generative AI to transform how we discover food and groceries. Following the footsteps of major industry players such as Zomato, Blinkit, and Instacart, Swiggy aims to bring the latest AI technologies to its platform. By developing AI-led solutions for its restaurant partners and delivery ecosystem, […] The post Swiggy Follows Zomato and Blinkit in Integrating Generative AI appeared first on Analytics Vidhya.

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OpenAI Launches Custom Instructions for ChatGPT for Personalized AI Interaction

Analytics Vidhya

OpenAI has taken a significant step in enhancing user control over its AI language model, ChatGPT, by introducing a new feature called ‘custom instructions’ This latest update aims to streamline interactions and provide a more personalized experience for users. This article explores the various aspects of this new feature and teaches you how to enable […] The post OpenAI Launches Custom Instructions for ChatGPT for Personalized AI Interaction appeared first on Analytics Vidhya.

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AI-generated synthetic data

Cassie Kozyrkov

Explained the best possible way: with cats!

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Frequentist vs Bayesian Statistics in Data Science

Analytics Vidhya

Introduction Statistical analysis plays a crucial role in the fast-developing field of data science, enabling researchers to gain insightful knowledge from data. However, the disagreement between Bayesian and frequentist methods has always been against each other. These two strategies embody different mindsets and procedures, each offering unique benefits and drawbacks.

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Stanford study challenges assumptions about language models: Larger context doesn’t mean better understanding

Flipboard

A study released this month by researchers from Stanford University, UC Berkeley and Samaya AI has found that large language models (LLMs) often fail to access and use relevant information given to them in longer context windows.

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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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Exploring the Power of Data Science in Civil Engineering

Analytics Vidhya

Introduction Civil engineering has witnessed a remarkable transformation in recent years, owing to the integration of data science techniques. Data science has emerged as a powerful tool, revolutionizing how civil engineers approach infrastructure project design, planning, and management. This article delves into the crucial role data science plays in civil engineering and its impact on […] The post Exploring the Power of Data Science in Civil Engineering appeared first on Analytics Vidhya

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AI talent is in high demand even at non-tech companies. And jobs are paying way over six figures — up to $300,000.

Flipboard

AI developers, engineers, and consultants are seeing lots of new job opportunities with companies far outside the traditional tech world looking to put generative artificial intelligence to work.

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Unleashing Generative AI with VAEs, GANs, and Transformers

Analytics Vidhya

Introduction Generative AI, an exciting field at the intersection of artificial intelligence and creativity, is revolutionizing various industries by enabling machines to generate new and original content. From generating realistic images and music compositions to creating lifelike text and immersive virtual environments, generative AI is pushing the boundaries of what machines can achieve.

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Sergey Brin is back at Google—and he’s working on AI

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Some five years after stepping down as president of Alphabet, Brin is reportedly back working on Google’s AI model, Gemini. Google cofounder Sergey Brin is back in Mountain View and has reportedly been making regular appearances at the company’s offices.

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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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Exploring the World of Music Generation with AI

Analytics Vidhya

Introduction Music generation utilizing AI has gained significance as a valuable area, transforming the way music is produced and enjoyed. This project introduces the concept and purpose behind employing artificial intelligence in music creation. We aim to explore the process of generating music using AI algorithms and the potential it holds. Our project focuses on […] The post Exploring the World of Music Generation with AI appeared first on Analytics Vidhya.

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The biggest AI release since ChatGPT

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Meta’s new AI model, Llama 2, has big implications — and some unusual restrictions. Also: an update on how Telegram is doing. The pace of AI development is moving at breakneck speed.

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Why would you want synthetic data?

Cassie Kozyrkov

Is synthetic data the hot new thing or an act of desperation?

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Meet Your New AI Chatbot Co-Worker

Flipboard

With the rise of bots such as OpenAI’s ChatGPT and Google’s Bard, artificial intelligence has unleashed more than $5 trillion worth of hype into the …

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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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Why would you want synthetic data?

Cassie Kozyrkov

Is synthetic data the hot new thing or an act of desperation?

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Apple Engineers Building ChatGPT Clone, But Execs Unsure Of Launch

Flipboard

Apple is secretly developing its own generative AI tools to challenge OpenAI’s GPT and other language models like Google's Bard, reports Mark Gurman of Bloomberg News. Internally dubbed "Apple GPT," the company's ChatGPT clone is already being used by some employees for work tasks.

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A New AI Research from China Combines Machine-Learning Methods with Questions to Reveal New Dimensions in the Connections between Supervisor-Student Relationships

Marktechpost

The supervisor-student relationship has a profound impact on creativity. A harmonious supervisor-student relationship is a basis for knowledge transfer and innovations, while a bad supervisor-student relationship mitigates the negative effects of the power stereotype threat. The researchers have designed two studies to explore the emotional mechanism in the supervisor-student relationship.

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Gliding, not searching: Here's how to reset your view of ChatGPT to steer it to better results

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ChatGPT has exploded in popularity, and people are using it to write articles and essays, generate marketing copy and computer code, or simply as a …

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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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This AI Paper Proposes Retentive Networks (RetNet) as a Foundation Architecture for Large Language Models: Achieving Training Parallelism, Low-Cost Inference, and Good Performance

Marktechpost

Transformer, which was first developed to address the sequential training problem with recurrent models, has since come to be accepted as the de facto architecture for big language models. Transformers’ O(N) complexity per step and memory-bound key-value cache make it unsuitable for deployment, trade-off training parallelism for poor inference.

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Stability AI cofounder sold stake now worth over $500 million for $100—after being deceived, says lawsuit

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Cyrus Hodes alleges that CEO Emad Mostaque deceived him into selling his 15% stake for $100—three months before the startup reached a $1 billion …

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Meet CHARM: A New Artificial Intelligence AI Tool that can Decode Brain Cancer’s Genome during Surgery for Real-Time Tumor Profiling

Marktechpost

In a groundbreaking development, Harvard researchers have unveiled an artificial intelligence (AI) tool capable of rapidly decoding a brain tumor’s DNA during surgery, providing critical information that can significantly impact patient outcomes. This innovative technology, known as CHARM (Cryosection Histopathology Assessment and Review Machine), has the potential to revolutionize the field of neurosurgery by enabling real-time molecular diagnosis, which was previously a time-consuming an

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Meet Animate-A-Story: A Storytelling Approach With Retrieval-Augmented Video Generation That Can Synthesize High-Quality, Structured, and Character-Driven Videos

Flipboard

Text-to-image models have recently gained a lot of attention. With the introduction of Generative Artificial Intelligence, models like GPT and DALL-E have been in the headlines ever since their release. Their rise in popularity is the reason because of why generating content like a human is no longer a dream today. Not only text-to-image models but also text-to-video (T2V) generation is now possible.

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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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LangSmith: The Ultimate Guide for Developing and Monitoring LLM Applications

Mlearning.ai

In this tutorial, we’ll walk you through setting up and using the LangSmith API. We’ll create a unique identifier, configure some… Continue reading on MLearning.

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Researchers from UC Berkeley Introduce Gorilla: A Finetuned LLaMA-based Model that Surpasses GPT-4 on Writing API Calls

Flipboard

A recent breakthrough in the field of Artificial Intelligence is the introduction of Large Language Models (LLMs). These models enable us to understand language more concisely and, thus, make the best use of Natural Language Processing (NLP) and Natural Language Understanding (NLU). These models are performing well on every other task, including text summarization, question answering, content generation, language translation, and so on.

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Meet StyleAvatar3D: A New AI Method for Generating Stylized 3D Avatars Using Image-Text Diffusion Models and a GAN-based 3D Generation Network

Marktechpost

Since the advent of large-scale image-text pairings and sophisticated generative model topologies like diffusion models, generative models have made tremendous progress in producing high-fidelity 2D pictures. These models eliminate manual involvement by allowing users to create realistic visuals from text cues. Due to the lack of diversity and accessibility of 3D learning models compared to their 2D counterparts, 3D generative models continue to confront significant problems.