Sun.Jul 30, 2023

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Mastering Next Word Prediction with BI-LSTM: A Comprehensive Guide

Analytics Vidhya

Introduction Identifying the following word is the task of next-word prediction, also known as language modeling. One of the NLP‘s benchmark tasks is language modeling. In its most basic form, it entails picking the word that follows a string of words based on them that is most likely to occur. In many different fields, language […] The post Mastering Next Word Prediction with BI-LSTM: A Comprehensive Guide appeared first on Analytics Vidhya.

NLP 270
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The Amazing Ways Indeed Uses AI To Create A Career Companion

Flipboard

In the 18 years it has existed, Indeed has evolved from a simple jobs noticeboard to an automated matching and hiring platform. Every minute, more than 20 hires are made through the platform, which is visited by 300 million people every month.

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Stack Overflow Launches Overflow: The Integration of Developers Community and AI

Marktechpost

Stack Overflow, the renowned platform for developers seeking answers and knowledge, has taken a momentous step forward by announcing its new roadmap, ushering in a new era marked by the integration of generative AI. Aptly named OverflowAI , this visionary initiative promises to enhance the platform’s capabilities, improve search functionalities, and provide a seamless experience for developers across the globe.

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How AI Transforms HR Operations and Employee Development

Flipboard

Artificial Intelligence (AI) is rapidly reshaping the landscape of HR operations, offering valuable insights and streamlining various processes to drive efficiency and productivity. As businesses increasingly adopt AI technologies, HR leaders are harnessing their capabilities to enhance recruitment, onboarding, learning and development, and administrative tasks.

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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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Researchers from NYU and Meta AI Studies Improving Social Conversational Agents by Learning from Natural Dialogue between Users and a Deployed Model, without Extra Annotations

Marktechpost

Human input is a key tactic for improving social dialogue models. In reinforcement learning with human feedback, when many human annotations are required to guarantee a satisfactory reward function, there has been tremendous improvement in learning from feedback. The sources of feedback include numerical scores, rankings, or comments in natural language from users about a dialogue turn or dialogue episode, as well as binary assessments of a bot turn.

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Artistic Odyssey: Exploring Diverse Art Mediums with Midjourney

Artificial Corner

Explore interesting ways to create stunning art pieces in different mediums. Image created by Midjourney using my prompts There are days when you paint an amazing acrylic painting, and you look at it and wish that charcoal sketch adaptation of the same would be great too, or maybe a watercolor style version of this piece, or maybe even a paint by numbers style version so that you could use it to teach someone to paint their copy of it too!

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What Self-Driving Cars Tell Us About AI Risks

Flipboard

In 2016, just weeks before the Autopilot in his Tesla drove Joshua Brown to his death, I pleaded with the U.S.

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UC Berkeley Researchers Introduce Nerfstudio: A Python Framework for Neural Radiance Field (NeRF) Development

Marktechpost

Who isn’t a fan of Iron Man? He looks really cool when he is working in his lab. All the holograms and new gadgets he uses make him look cool. Is it possible to create such a 3D navigable scene (like a hologram) from a 2D photograph? Researchers at UC Berkeley succeeded in doing it using a technology called Neural Radiance Fields (NeRF). Other researchers at Berkley also created a development framework to speed up the NeRF projects to make them more accessible.

Python 98
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Is ChatGPT safe? Risks, data safety, and chatbot privacy explained

Flipboard

Whether it’s drafting an essay or researching a problem at work, ChatGPT has become the go-to tool for just about any language task. Indeed, the chatbot’s ability to take in large amounts of data and process it within seconds makes it extremely valuable.

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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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A General Introduction to Large Language Model (LLM)

Artificial Corner

In this world of complex terminologies, someone who wants to explain Large Language Models (LLMs) to some non-tech guy is a difficult task. So that’s why I tried in this article to explain LLM in simple or to say general language. Photo by Shubham Dhage on Unsplash Introduction Large language Models (LLMs) are a subset of Deep Learning. Large language Models also intersect with Generative Ai, it can perform a variety of Natural Language Processing tasks, including generating and classifying tex

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Can ChatGPT solve math problems? Best practices, plugins, and alternatives

Flipboard

From writing essays to coding programs, there’s seemingly nothing modern AI chatbots like ChatGPT and Bing Chat cannot accomplish. But even though they seem limitless on the surface, they’re certainly not perfect.

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Research Article Meta-data Description Made Quick and Easy

Towards AI

Last Updated on July 31, 2023 by Editorial Team Author(s): Petr Korab Originally published on Towards AI. Summarize essential information from research meta-data with text mining methods in a few lines of Python code This member-only story is on us. Upgrade to access all of Medium. Photo by fabrikasimf on Freepik By: Petr Koráb (Zeppelin University in Friedrichshafen, Germany; Lentiamo, Prague) and Jarko Fidrmuc (Zeppelin University in Friedrichshafen, Germany) Research publication meta-data (ar

Python 97
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McKinsey's technology trends for 2023 - ET Telecom

Flipboard

According to McKinsey Technology Council, “Generative AI is poised to add as much as $4.4 trillion in economic value.

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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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Operationalizing Large Language Models: How LLMOps can help your LLM-based applications succeed

deepsense.ai

The recent strides made in the field of machine learning have given us an array of powerful language models and algorithms. These models offer tremendous potential but also bring a unique set of challenges when it comes to building large-scale ML projects. In this blog post we will discuss the importance of LLMOps principles and best practices, which will enable you to take your existing or new machine learning projects to the next level.

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AI-Generated Video Shows Dangers of Sharing Children's Information Online: Deepfake Ad Shows Potential Harm

Flipboard

An AI-generated video shows parents the risks of uploading information about kids online, including photos and videos. Learn more.

AI 92
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OpenAI Python Developers! Front-End Woes?

Artificial Corner

Use Streamlit to Make a Quick Front-End Python Application Continue reading on Artificial Corner »

Python 97
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When You Look Back in a Few Years, You'll Wish You'd Bought This Trillion-Dollar AI Stock

Flipboard

Artificial intelligence is now core to the world's second-largest company. Microsoft (MSFT 2.

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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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Licensing to AI: A New Revenue Stream for Publishers?

Artificial Corner

Why The OpenAI + AP Agreement Changes The Game Continue reading on Artificial Corner »

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Another problem with CHATgpt

Flipboard

I was giving a recruiting talk for my REU program and I had some slides with testimonials from …

ChatGPT 67
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LivePose: Online 3D Reconstruction from Monocular Video with Dynamic Camera Poses

Machine Learning Research at Apple

Dense 3D reconstruction from RGB images traditionally assumes static camera pose estimates. This assumption has endured, even as recent works have increasingly focused on real-time methods for mobile devices. However, the assumption of one pose per image does not hold for online execution: poses from real-time SLAM are dynamic and may be updated following events such as bundle adjustment and loop closure.

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Vision Transformer Embrace Convolutional Neural Networks | TEC-Net

Artificial Corner

A Hybrid CNN-Transformer Architecture for Medical Image Segmentation with DDConv and SW-ACAM, compatible with quantitative and qualitative analysis Limi Change on Unsplash The convolutional neural networks are limited to capturing global features, whereas, transformers are limited to extracting local features. Therefore, the hybrid architecture of transformers and convolutional neural networks has been recently used to overcome the shortcomings of both CNNs and transformers.

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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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Predicting Precancerous Changes in High-Risk Women: A Breakthrough Mammography-Based Deep Learning Approach

Marktechpost

Artificial intelligence and profound learning advancements have opened new avenues for improving medical diagnostics and patient care. A recent study published in Radiology: Artificial Intelligence has demonstrated the potential of a mammography-based deep learning (DL) model in detecting precancerous changes in women at high risk for breast cancer.

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More Foundation Models from Stability AI

TheSequence

Created with SDXL Next Week in The Sequence: Edge 313: Our popular series about foundation models continues with an overview about multimodal chain-of-thought(CoT) reasoning in LLMs. Amazon’s original paper on multimodal CoT and an overview of the hot Open Assistant project. Edge 314: It’s time for a deep dive about Meta AI’s recently released Llama 2 model.

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Quantum information theory

Mlearning.ai

THE BASICS Introduction I haven’t had much time to write lately but I feel that there is growing interest in quantum information theory as of lately. That’s why I decided to write a short article to demystify some of the basic concepts within this field. On an abstract level, quantum information isn’t that difficult to grasp. The real challenge arises when we try to understand it using everyday logic.

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3 Simple Ways to Make Money Before Your First Data Scientist Job

Artificial Corner

Making money has never been easier these days with a degree in Data Science Continue reading on Artificial Corner »

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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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A Practical Guide for identifying important features using Python

Mlearning.ai

Identifying important features using Python Introduction Features are the foundation on which every machine-learning model is built. Different machine-learning paradigms use different terminologies for features such as annotations, attributes, auxiliary information, etc. Nonetheless, features are an essential ingredient in building an ML model. This covers unsupervised, supervised, self-supervised, decision-making, and even graph ML.

Python 52
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The Beginner’s Guide to Summarize YouTube Videos with LangChain Loaders and OpenAI.

Artificial Corner

Get the most out of YouTube with this easy-to-follow tutorial!

OpenAI 52
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Understanding a Python Web Scraper

Mlearning.ai

The internet is an abundant source of data and information. As data-driven decision making becomes increasingly significant, extracting… Continue reading on MLearning.

Python 52