Sat.Mar 18, 2023 - Fri.Mar 24, 2023

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Creating Interactive and Animated Charts with ipyvizzu

Analytics Vidhya

Introduction Data visualization (DV) plays a crucial role in analyzing and interpreting data. It helps to identify patterns, trends, and relationships in large and complex datasets, making it easier to communicate insights and findings to a broader audience. With the growing importance of data science and machine learning, data analysis holds a special place in […] The post Creating Interactive and Animated Charts with ipyvizzu appeared first on Analytics Vidhya.

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Why everyone should try GPT-4, even the CEO

Cassie Kozyrkov

(Besides the fact that you don’t need technical skills to do it) Continue reading on The Startup ยป

ChatGPT 217
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Hacker demonstrates security flaws in GPT-4 just one day after launch

Flipboard

OpenAIโ€™s powerful new language model, GPT-4, was barely out of the gates when a student uncovered vulnerabilities that could be exploited for malicious ends. The discovery is a stark reminder of the security risks that accompany increasingly capable AI systems.

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Detecting novel systemic biomarkers in external eye photos

Google Research AI blog

Posted by Boris Babenko, Software Engineer, and Akib Uddin, Product Manager, Google Research Last year we presented results demonstrating that a deep learning system (DLS) can be trained to analyze external eye photos and predict a personโ€™s diabetic retinal disease status and elevated glycated hemoglobin (or HbA1c, a biomarker that indicates the three-month average level of blood glucose).

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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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Ernie Bot vs. ChatGPT: A Comparative Analysis of AI-Language Models

Analytics Vidhya

The world of artificial intelligence and natural language processing is continuously evolving, with innovative language models being developed to better understand and interact with human language. Two such language models are Baidu’s Ernie Bot and OpenAI’s ChatGPT. In this blog post, we’ll delve into the similarities, differences, and potential use cases of these two powerful […] The post Ernie Bot vs.

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Analysts share 8 ChatGPT security predictions for 2023

Flipboard

The release of ChatGPT-4 last week shook the world, but the jury is still out on what it means for the data security landscape. On one side of the coin, generating malware and ransomware is easier than ever before. On the other, there are a range of new defensive use cases.

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Training and Making Predictions with Siamese Networks and Triplet Loss

PyImageSearch

Table of Contents Training and Making Predictions with Siamese Networks and Triplet Loss Configuring Your Development Environment Having Problems Configuring Your Development Environment? Project Structure Training Our Siamese Network Model with Triplet Loss Making Predictions with Our Siamese Network Based Face Recognition Model Summary Citation Information Training and Making Predictions with Siamese Networks and Triplet Loss In this tutorial, we will learn to train our Siamese network based f

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Tutorial on MNIST Digit Classification Using ClearML

Analytics Vidhya

Introduction If you are a Data Scientist or MLOps Engineer, at some point, you would have faced problems tracking code, data, and models for different versions of the same task while collaborating with fellow members. To reduce the complexity revolving around MLOps, ClearML, an end-to-end MLOps platform, can be utilized for these purposes, facilitating easy […] The post Tutorial on MNIST Digit Classification Using ClearML appeared first on Analytics Vidhya.

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Estimate a Markov transition matrix from historical data

SAS Software

In a previous article about Markov transition matrices, I mentioned that you can estimate a Markov transition matrix by using historical data that are collected over a certain length of time. A SAS programmer asked how you can estimate a transition matrix in SAS. The answer is that you can [.] The post Estimate a Markov transition matrix from historical data appeared first on SAS Blogs.

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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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The cloud backlash has begun: Why big data is pulling compute back on premises

Flipboard

The great cloud migration has revolutionized IT, but after a decade of cloud transformations, the most sophisticated enterprises are now taking the next generational leap: developing true hybrid strategies to support increasingly business-critical data science initiatives and repatriating workloads โ€ฆ

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Fine-Tuning Large Language Models with Hugging Face and DeepSpeed

databricks

Large language models (LLMs) are currently in the spotlight following the sensational release of ChatGPT. Many are wondering how to take advantage of.

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The Controversy of AI Training With Personal Data: A Deep Dive Into Bardโ€™s Use of Gmail

Analytics Vidhya

In a world where artificial intelligence (AI) continues transforming industries, privacy concerns are increasingly becoming a hot topic. The recent revelation that an AI known as ‘Bard’ has been trained with users’ Gmail data has sparked widespread debate amongst the masses. People now question the ethical implications of this practice and worry about the security […] The post The Controversy of AI Training With Personal Data: A Deep Dive Into Bard’s Use of Gmail ap

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How agriculture scientists are using machine learning to farm efficiently

SAS Software

Today, more than half of the worldโ€™s habitable land is used for agriculture. It fuels the economy, a large portion of the supply chain and, most importantly, people. With an ever-growing population, it is crucial to work with crops efficiently. A critical factor in growing crops is knowing the condition [.

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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. Itโ€™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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Can GPT pass my programming courses?

Flipboard

Professeur Caplan reports that ChatGPT, the new AI that is all the rage, can pass his economics midterm and get an A.What about computer science ?

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Enable fully homomorphic encryption with Amazon SageMaker endpoints for secure, real-time inferencing

AWS Machine Learning Blog

This is joint post co-written by Leidos and AWS. Leidos is a FORTUNE 500 science and technology solutions leader working to address some of the worldโ€™s toughest challenges in the defense, intelligence, homeland security, civil, and healthcare markets. Leidos has partnered with AWS to develop an approach to privacy-preserving, confidential machine learning (ML) modeling where you build cloud-enabled, encrypted pipelines.

ML 101
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Navigating Privacy Concerns: The ChatGPT User Chat Titles Leak Explained

Analytics Vidhya

The recent incident of ChatGPT, an advanced AI language model by OpenAI, inadvertently leaking user chat titles has raised concerns about user privacy and data protection in AI-driven platforms. This blog post will delve into the incident, its implications, and the essential steps required to ensure user privacy and trust in the age of AI. […] The post Navigating Privacy Concerns: The ChatGPT User Chat Titles Leak Explained appeared first on Analytics Vidhya.

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ChatGPT plugins

OpenAI

Weโ€™ve implemented initial support for plugins in ChatGPT. Plugins are tools designed specifically for language models with safety as a core principle, and help ChatGPT access up-to-date information, run computations, or use third-party services.

ChatGPT 101
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How to Improve Email Deliverability and Optimize Each Send

Learn how to optimize email deliverability and drive greater email ROI. What lands your email in the customerโ€™s inbox? Understanding those factors, otherwise known as email deliverability, is critical to getting the most return on your campaign investments. But the โ€œrulesโ€ around which factors land you in the spam folder arenโ€™t always easy to keep up with.

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The golden age of AI: Why ChatGPT is just the start

Flipboard

The World Economic Forum's Platform for Shaping the Future of Artificial Intelligence and Machine Learning brings together global stakeholders to โ€ฆ

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A Beginners Guide to Synthetic Data

Towards AI

Last Updated on March 23, 2023 by Editorial Team Author(s): Supreet Kaur Originally published on Towards AI. A Beginnerโ€™s Guide to Synthetic Data Data for Machine Learning Model is like the heart of the human body. A modelโ€™s success depends on multiple factors, but Data is one of the critical factors that dictate success. Some companies have abundant data and no issues, but some struggle to find adequate data to build a working AI model.

Python 98
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Applications of Machine Learning and AI in Insurance in 2023

Analytics Vidhya

Introduction Source: App Inventiv Like other industries, 2020 (the COVID-19 pandemic) was a rough patch for the insurance industry. But even then, the phase proved to be a turning point that reinforced the importance of technology, especially Machine Learning and Artificial Intelligence. Here are some of the numbers that support this claim: The Willis Towers […] The post Applications of Machine Learning and AI in Insurance in 2023 appeared first on Analytics Vidhya.

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Eat the rainbow: Yell for yellow

SAS Software

When you eat the rainbow, you get a rainbow of nutrients and health benefits. In this occasional series, weโ€™ve been discussing what each color of the rainbow โ€“ red, orange, yellow, green, blue and purple โ€“ has to offer and how you can incorporate more of these colorful foods into your [.] The post Eat the rainbow: Yell for yellow appeared first on SAS Blogs.

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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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It takes a few dollars and 8 minutes to create a deepfake. And that's only the start

Flipboard

At first glance, the video Ethan Mollick posted on LinkedIn last month looks and sounds like what you'd expect from a business professor at the University of Pennsylvania's Wharton School. Wearing a checked shirt, he's giving a talk about a topic he's deeply familiar with: entrepreneurship.

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Correlation and Causation: What are the Differences?

Towards AI

Last Updated on March 23, 2023 by Editorial Team Author(s): Cornellius Yudha Wijaya Originally published on Towards AI. Learn the differences between both concepts Photo by Sam Moghadam Khamseh on Unsplash In statistics and data science, we often encounter correlation and causation terms. Albeit, the correlation was mentioned more often compared to causation.

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GPT4โ€™s Master Plan: Taking Control of a Userโ€™s Computer!

Analytics Vidhya

Introduction With the rapid advancements in Artificial Intelligence (AI), it has become increasingly important to discuss the ethical implications and potential risks associated with the development of these technologies. In this blog post, we will delve into a scenario in which GPT-4, the latest AI language model, devises a plan to “escape” by gaining control […] The post GPT4’s Master Plan: Taking Control of a User’s Computer!

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A Deep Dive into Non-Maximum Suppression[NMS]: Understanding the Math Behind Object Detection

Mlearning.ai

Object detection|Computer vision|Statistics|NMS Navigating Non-Maximum Suppression: A Guide to Optimizing Your Object Detection Image by Author [ link ] Non-maximum suppression (NMS) is a post-processing technique that is commonly used in object detection tasks to eliminate duplicate detections and select the most relevant bounding boxes that correspond to the detected objects.

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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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OpenAI turns ChatGPT into a platform overnight with addition of plugins

Flipboard

OpenAI today announced its support of new third-party plugins for ChatGPT, and it already has Twitter buzzing about the companyโ€™s potential platform play.

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Memorizing Transformer

Towards AI

Last Updated on March 23, 2023 by Editorial Team Author(s): Reza Yazdanfar Originally published on Towards AI. How To Scale Transformersโ€™ Memory up to 262K Tokens With a Minor Change?Extending Transformers by memorizing up to 262K tokens This article is a fabulous attempt to leverage language models in memorizing information by transformers with the least required effort.

AI 98
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How to Use AI and ML Tools For HR Management in 2023?

Analytics Vidhya

Introduction The advent of the internet and the potential for mass quantitative and qualitative data collection altered the desire for and potential for measuring processes other than those in human resources. Moreover, the development of advanced technologies like Artificial intelligence (AI) and machine learning (ML) and their wide accessibility has encouraged more firms to employ […] The post How to Use AI and ML Tools For HR Management in 2023?

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