Wed.Feb 07, 2024

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5 Ways to Convert String to a List in Python

Analytics Vidhya

Introduction Converting a string to a list is a common task in Python programming. It allows us to manipulate and work with individual elements of a string more easily. One popular method for converting a string to a list in Python is using the list() constructor. This constructor takes an iterable, such as a string, […] The post 5 Ways to Convert String to a List in Python appeared first on Analytics Vidhya.

Python 299
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LLMOps: The Next Frontier for Machine Learning Operations

Unite.AI

Machine learning (ML) is a powerful technology that can solve complex problems and deliver customer value. However, ML models are challenging to develop and deploy. They need a lot of expertise, resources, and coordination. This is why Machine Learning Operations (MLOps) has emerged as a paradigm to offer scalable and measurable values to Artificial Intelligence (AI) driven businesses.

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How to Sort a String in Python?

Analytics Vidhya

Introduction Sorting a string in Python refers to arranging the characters of a string in a specific order. This can be done in various ways, depending on the requirements and the desired outcome. In this article, we will explore different approaches to sort a string in Python and discuss their performance analysis. We will also […] The post How to Sort a String in Python?

Python 286
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The UK is outpacing the US for AI hiring

AI News

A new report finds that the UK has been growing its AI job market faster than the US over the last five years. Analysing job listings data, the report by AIPRM found that – between 2017 and 2022 – the average yearly growth rate for AI hiring was 1.2% in the US. This compares to 1.22% in the UK over the same period. The UK’s strong performance means it outpaced other major economies like India (1.19% growth), Canada (1.26%), and Brazil (1.21%). “Despite consistent expansion of the AI

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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

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Scatter Plot Visualization in Python using matplotlib

Analytics Vidhya

Introduction Scatter plots are a powerful tool in a data scientist’s arsenal, allowing us to visualize the relationship between two variables. This blog will explore the ins and outs of creating stunning scatter Plot Visualization in Python using matplotlib. Scatter plots are invaluable for uncovering patterns, trends, and correlations within datasets, making them an essential […] The post Scatter Plot Visualization in Python using matplotlib appeared first on Analytics Vidhya.

Python 279

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QX Lab AI Launches Ask QX: A Multilingual GenAI Platform

Analytics Vidhya

In a landmark development, QX Lab AI has unveiled Ask QX, a pioneering hybrid generative AI platform aimed at democratizing AI access, particularly for non-native English speakers. This revolutionary platform, available in over 100 languages including 12 Indian languages, marks a significant leap forward in AI technology, promising seamless interaction and unprecedented language proficiency.

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Building a Data Fortress: Data Security and Privacy in the Age of Generative AI and LLMs

Unite.AI

The digital era has ushered in a new age where data is the new oil, powering businesses and economies worldwide. Information emerges as a prized commodity, attracting both opportunities and risks. With this surge in data utilization comes the critical need for robust data security and privacy measures. Safeguarding data has become a complex endeavor as cyber threats evolve into more sophisticated and elusive forms.

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Meta Takes Steps to Label AI-Generated Content Across Facebook, Instagram, and Threads

Analytics Vidhya

Meta, the parent company of Facebook, Instagram, and Threads, announces plans to implement labeling for AI-generated content across its platforms. This is in response to the proliferation of AI-generated content and concerns about its potential to mislead users. This move aims to enhance transparency and help users distinguish between AI-generated and human-created content amidst the […] The post Meta Takes Steps to Label AI-Generated Content Across Facebook, Instagram, and Threads appear

AI 270
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Pioneering Large Vision-Language Models with MoE-LLaVA

Marktechpost

In the dynamic arena of artificial intelligence, the intersection of visual and linguistic data through large vision-language models (LVLMs) is a pivotal development. LVLMs have revolutionized how machines interpret and understand the world, mirroring human-like perception. Their applications span a vast array of fields, including but not limited to sophisticated image recognition systems, advanced natural language processing, and the creation of nuanced multimodal interactions.

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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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30+ Multiple-Choice Questions on Python Data Types

Analytics Vidhya

Python offers a versatile range of data types, each designed to suit specific needs in programming. Understanding these data types is fundamental for any Python developer, as they form the building blocks of data manipulation and storage within the language. From numeric types like integers and floats to collections like lists, tuples, sets, and dictionaries, […] The post 30+ Multiple-Choice Questions on Python Data Types appeared first on Analytics Vidhya.

Python 261
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From Numbers to Knowledge: The Role of LLMs in Deciphering Complex Equations!

Marktechpost

Exploring the fusion of artificial intelligence with mathematical reasoning reveals a dynamic intersection where technology meets one of humanity’s oldest intellectual pursuits. The quest to imbue machines capable of parsing and solving mathematical problems stretches beyond mere computation, delving into the essence of cognitive understanding and logical deduction.

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How to use ChatGPT in Excel ?

Analytics Vidhya

In today’s tech-driven world, we’re always looking for ways to make our work easier, right? Well, imagine having a super-smart assistant to help you out with Excel – that’s where ChatGPT comes in! It’s like having a buddy who knows Excel inside out, ready to lend a hand whenever you need it. Whether you’re a […] The post How to use ChatGPT in Excel ?

ChatGPT 260
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India’s schoolteachers are drafting better lesson plans faster, thanks to a copilot

Microsoft AI

Sikshana Foundation and Microsoft Research India created an AI copilot to help government schoolteachers create better lesson plans, faster.

AI 135
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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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Ways to Create a Dictionary of Lists in Python

Analytics Vidhya

Introduction When working with data in Python, it is often useful to organize information in a structured manner. One such data structure that can be particularly helpful is a dictionary of lists. In this article, we will explore what a dictionary of lists is, the benefits of using it, and various ways to create and […] The post Ways to Create a Dictionary of Lists in Python appeared first on Analytics Vidhya.

Python 256
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Meet OLMo (Open Language Model): A New Artificial Intelligence Framework for Promoting Transparency in the Field of Natural Language Processing (NLP)

Marktechpost

With the rising complexity and capability of Artificial Intelligence (AI), its latest innovation, i.e., the Large Language Models (LLMs), has demonstrated great advances in tasks, including text generation, language translation, text summarization, and code completion. The most sophisticated and powerful models are frequently private, limiting access to the essential elements of their training procedures, including the architecture details, the training data, and the development methodology.

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AI Deciphers Ancient Scroll Charred by Volcanic Eruption

Analytics Vidhya

The mystery surrounding the Herculaneum scrolls, charred and seemingly unreadable for centuries, has taken a remarkable turn. A team of researchers has made significant progress in decoding the ancient writings buried beneath the ash of Mount Vesuvius. Thanks to the innovative use of artificial intelligence (AI) and advanced technology. This breakthrough, while shedding light on […] The post AI Deciphers Ancient Scroll Charred by Volcanic Eruption appeared first on Analytics Vidhya.

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UC Berkeley Researchers Introduce SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning

Marktechpost

In recent years, researchers in the field of robotic reinforcement learning (RL) have achieved significant progress, developing methods capable of handling complex image observations, training in real-world scenarios, and incorporating auxiliary data, such as demonstrations and prior experience. Despite these advancements, practitioners acknowledge the inherent difficulty in effectively utilizing robotic RL, emphasizing that the specific implementation details of these algorithms are often just

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The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data and AI

Speaker: Aindra Misra, Sr. Staff Product Manager of Data & AI at BILL (Previously PM Lead at Twitter/X)

Embark on a transformation journey into the heart of the data ecosystem! This webinar is your gateway to a deeper comprehension of the foundations that drive the data industry and will equip you with the knowledge needed to navigate the evolving landscape. Delve into the diverse use cases where data analytics plays a pivotal role. We’ll explore how these applications are transforming with the introduction of Gen AI, and discuss the anticipated use cases for 2024 and beyond.

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How to Use Set add() Method in Python?

Analytics Vidhya

Introduction In Python, the set data structure is incredibly useful for managing collections of unique elements. Sets allow you to store a group of distinct items and perform various operations such as adding, removing, and checking for membership efficiently. The add() method in Python is specifically designed to include new elements into a set. This […] The post How to Use Set add() Method in Python?

Python 246
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This AI Paper from Alibaba Introduces EE-Tuning: A Lightweight Machine Learning Approach to Training/Tuning Early-Exit Large Language Models (LLMs)

Marktechpost

Large language models (LLMs) have profoundly transformed the landscape of artificial intelligence (AI) in natural language processing (NLP). These models can understand and generate human-like text, representing a pinnacle of current AI research. Yet, the computational intensity required for their operation, particularly during inference, presents a formidable challenge.

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WhatsApp to Introduce AI-Powered Customer Support

Analytics Vidhya

WhatsApp, the popular instant messaging platform under Meta’s umbrella, is gearing up to revolutionize user assistance with the introduction of AI-powered customer support. This innovative feature aims to enhance user experience by providing prompt solutions to queries, even when human support isn’t available. Let’s delve deeper into how this AI support system will function and […] The post WhatsApp to Introduce AI-Powered Customer Support appeared first on Analytics Vidh

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Researchers from McGill University Present the Pythia 70M Model for Distilling Transformers into Long Convolution Models

Marktechpost

The emergence of Large Language Models (LLMs) has transformed the landscape of natural language processing (NLP). The introduction of the transformer architecture marked a pivotal moment, ushering in a new era in NLP. While a universal definition for LLMs is lacking, they are generally understood as versatile machine learning models adept at simultaneously handling various natural language processing tasks, showcasing these models’ rapid evolution and impact on the field.

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Monetizing Analytics Features

Think your customers will pay more for data visualizations in your application? Five years ago, they may have. But today, dashboards and visualizations have become table stakes. Turning analytics into a source of revenue means integrating advanced features in unique, hard-to-steal ways. Download this white paper to discover which features will differentiate your application and maximize the ROI of your analytics.

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5 Ways of Finding the Average of a List in Python

Analytics Vidhya

Introduction When working with lists in Python, finding the average values within the list is often necessary. The average, also known as the arithmetic mean, is a measure of central tendency that provides insight into the overall value of a dataset. In this article, we will explore 7 methods for finding the average list in […] The post 5 Ways of Finding the Average of a List in Python appeared first on Analytics Vidhya.

Python 143
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Automate mortgage document fraud detection using an ML model and business-defined rules with Amazon Fraud Detector: Part 3

AWS Machine Learning Blog

In the first post of this three-part series, we presented a solution that demonstrates how you can automate detecting document tampering and fraud at scale using AWS AI and machine learning (ML) services for a mortgage underwriting use case. In the second post , we discussed an approach to develop a deep learning-based computer vision model to detect and highlight forged images in mortgage underwriting.

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[Miqu-1–70b] Where does Miqu come from? Is it really Mistral-Medium?

Towards AI

Last Updated on February 8, 2024 by Editorial Team Author(s): Gao Dalie (高達烈) Originally published on Towards AI. The reason this news has received so much attention is related to a mysterious model called ‘Miqu This video aims to be your comprehensive guide to Miqu-1–70b, Test Model, where Miqu-1–70b does come from, and Who the leaker is Around January 28, a user named ‘Miqu Dev’ published a set of files on the open-source AI model and code-sharing platform HuggingFace.

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Mastering Pair Plots for Visualization and Hypothesis Creation in the Ames Housing Market

Machine Learning Mastery

Navigating the complex landscape of real estate analytics involves unraveling distinct narratives shaped by various property features within the housing market data. Our exploration today takes us into the realm of a potent yet frequently overlooked data visualization tool: the pair plot. This versatile graphic not only sheds light on the robustness and orientation of […] The post Mastering Pair Plots for Visualization and Hypothesis Creation in the Ames Housing Market appeared first on Ma

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A Tale of Two Case Studies: Using LLMs in Production

Speaker: Tony Karrer, Ryan Barker, Grant Wiles, Zach Asman, & Mark Pace

Join our exclusive webinar with top industry visionaries, where we'll explore the latest innovations in Artificial Intelligence and the incredible potential of LLMs. We'll walk through two compelling case studies that showcase how AI is reimagining industries and revolutionizing the way we interact with technology. Some takeaways include: How to test and evaluate results 📊 Why confidence scoring matters 🔐 How to assess cost and quality 🤖 Cross-platform cost vs. quality tr

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How To Create Powerful Embeddings From Topology Information In Graphs

Towards AI

Author(s): Eivind Kjosbakken Originally published on Towards AI. Convert your graph to a clustering-friendly format with this article. “give me an image of a graph where the edges are turning into the nodes” prompt. ChatGPT, OpenAI, 30 Jan. 2024. /g/g-2fkFE8rbu-dall-e. · Motivation· Installing the required packages:· Assumptions· Deepwalk/Node2vec· GNNs· LINE· Apply clustering to the embeddings· Conclusion· References Using a graph can be a good way of encoding lots of information.

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Passion in practice: How SAS HBCU+ Fellows are shaping future tech leaders

SAS Software

At SAS, we take a passionate stance in shaping the future of tech leaders. In 2023, we introduced the SAS HBCU+ Fellows Program, inviting faculty from Historically Black Colleges and Universities (HBCUs) and Primarily Black Institutions (PBIs) to gain hands-on experience with SAS and pass on this knowledge to their [.

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Building YouTube Recommender System with Video Thumbnails and Titles

Towards AI

Author(s): Ransaka Ravihara Originally published on Towards AI. Photo by Szabo Viktor on Unsplash Introduction This project was born as a weekend project where I learned about autoencoders and the usage of autoencoders in real life. However, after seeing its significant progress, I compiled it as a blog post so everyone else interested can benefit from it.