August, 2022

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Most Frequently Asked NLP Interview Questions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Natural language processing (NLP) is the branch of computer science and, more specifically, the domain of artificial intelligence (AI) that focuses on providing computers the ability to understand written and spoken language in a way similar to that of humans. Combining computational linguistics […].

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Text AI Updates Drive Faster Business Value

DataRobot Blog

How can you save time in understanding the impact of language when working with text in ML models ? With tens of thousands of Text AI projects, DataRobot has helped organizations unlock insights from text and generate predictions with text models—from assisting with customer support ticket triage to predicting real estate sale prices. Continuing to build on previously released Text AI capabilities, DataRobot AI Cloud introduces new features to help with language detection, blueprint optimization

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On Technique

O'Reilly Media

In a previous article , I wrote about how models like DALL-E and Imagen disassociate ideas from technique. In the past, if you had a good idea in any field, you could only realize that idea if you had the craftsmanship and technique to back it up. With DALL-E, that’s no longer true. You can say, “Make me a picture of a lion attacking a horse,” and it will happily generate one.

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Simplicity is An Advantage but Sadly Complexity Sells Better

Eugene Yan

Pushing back on the cult of complexity.

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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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Advancing conservation with AI-based facial recognition of turtles

DeepMind

We came across Zindi – a dedicated partner with complementary goals – who are the largest community of African data scientists and host competitions that focus on solving Africa’s most pressing problems. Our Science team’s Diversity, Equity, and Inclusion (DE&I) team worked with Zindi to identify a scientific challenge that could help advance conservation efforts and grow involvement in AI.

More Trending

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Building a simple Flask App using Docker vs Code

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction More often than not, developers run into issues of an application running on one machine versus not running on another. Dockers help prevent this by ensuring the application runs on any machine if it works on yours. Simply put, if your job as […]. The post Building a simple Flask App using Docker vs Code appeared first on Analytics Vidhya.

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AI in Supply Chain — A Trillion Dollar Opportunity

DataRobot Blog

Supply chain and logistics industries worldwide lose over $1 trillion a year due to out-of-stock or overstocked items 1. Shifting demands and shipping difficulties make the situation worse. Challenges in inventory management, demand forecasting, price optimization, and more can result in missed opportunities and lost revenue. The retail marketplace has become increasingly complex and competitive.

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Best Practice Series #3 – Are you AI Curious? Get your AI Strategy Now

Wisdom Works

Are you AI Curious? Earlier this year, we ran a survey to see how many businesses where adopting the benefits of AI and at what stage they were at in the journey. The results were quite frankly astonishing – only a few of the businesses we surveyed had started the process of adopting AI into their business. This didn’t seem to relate to the size of the business or the technical skills and experience of the team either.

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How Sentiment Analysis Keeps Your Brand in Check (and How to Get Started)

Kavita Ganesan

We’ve all heard of sentiment analysis, but what exactly is it and what can it do for your brand, your business, and how can you get started with it? Table Of Contents What is Sentiment Analysis? Why is Sentiment Analysis Important in Business? How are Businesses Using Sentiment Analysis? (Real-World Examples) How to Get Started with Sentiment Analysis Keep Learning From Me: Recommeded Reading What is Sentiment Analysis?

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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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Discovering when an agent is present in a system

DeepMind

We want to build safe, aligned artificial general intelligence (AGI) systems that pursue the intended goals of its designers. Causal influence diagrams (CIDs) are a way to model decision-making situations that allow us to reason about agent incentives. By relating training setups to the incentives that shape agent behaviour, CIDs help illuminate potential risks before training an agent and can inspire better agent designs.

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The Jupyter+git problem is now solved

fast.ai

Jupyter notebooks don’t work with git by default. With nbdev2 , the Jupyter+git problem has been totally solved. It provides a set of hooks which provide clean git diffs, solve most git conflicts automatically, and ensure that any remaining conflicts can be resolved entirely within the standard Jupyter notebook environment. To get started, follow the directions on Git-friendly Jupyter.

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Introduction to Requests Library in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Requests in Python is a module that can be used to send all kinds of HTTP requests. It is straightforward to use and is a human-friendly HTTP Library. Using the requests library; we do not need to manually add the query string […]. The post Introduction to Requests Library in Python appeared first on Analytics Vidhya.

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The First AI Center of Excellence Announced in the United Arab Emirates – Powered by DataRobot

DataRobot Blog

We’ve had a busy few months in the Middle East and Northern Africa (MENA) building great relationships with important customers in the region and working closely with critical partners that will act as managed service providers helping us as we bring the value of AI to that market. One such partnership was recently announced between Hub71 , Abu Dhabi’s global tech ecosystem, and e& enterprise , part of e& In partnership with and powered by the DataRobot AI Cloud platform , Hub71 and e

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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. It’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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Best Practice Series #3 – Are you AI Curious? Get your AI Strategy Now

Wisdom Works

Are you AI Curious? Earlier this year, we ran a survey to see how many businesses where adopting the benefits of AI and at what stage they were at in the journey. The results were quite frankly astonishing – only a few of the businesses we surveyed had started the process of adopting AI into their business. This didn’t seem to relate to the size of the business or the technical skills and experience of the team either.

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Our approach to alignment research

OpenAI

We are improving our AI systems’ ability to learn from human feedback and to assist humans at evaluating AI. Our goal is to build a sufficiently aligned AI system that can help us solve all other alignment problems.

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Advancing conservation with AI-based facial recognition of turtles

DeepMind

We came across Zindi – a dedicated partner with complementary goals – who are the largest community of African data scientists and host competitions that focus on solving Africa’s most pressing problems. Our Science team’s Diversity, Equity, and Inclusion (DE&I) team worked with Zindi to identify a scientific challenge that could help advance conservation efforts and grow involvement in AI.

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Travelogue: Defined.ai at ICASSP 2022 – Part 1: My Time in Singapore

Defined.ai blog

At the end of last May, the Defined.ai team participated in ICASSP 2022—or the International Conference on Acoustics, Speech, and Signal Processing—in Singapore. It was a blast, equally because it was my first time in Singapore and because it was the first in-person conference we’d been to since COVID-19 changed the world. Since it’s been so long since any of us have had the opportunity travel for an in-person event like this, I’d like to treat you, our faithful reader, to some highlights about

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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 customer’s inbox? Understanding those factors, otherwise known as email deliverability, is critical to getting the most return on your campaign investments. But the “rules” around which factors land you in the spam folder aren’t always easy to keep up with.

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Multi-variate Time Series Forecasting using Kats Model

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Kats model-which is also developed by Facebook Research Team-supports the functionality of multi-variate time-series forecasting in addition to univariate time-series forecasting. Often we need to forecast a time series where we have input variables in addition to ‘time’; this is where the […].

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Our Path Forward

DataRobot Blog

Today’s market looks very different than it did in 2021 as global IPO activity hit an all-time high, when DataRobot pursued an aggressive growth strategy and expanded business operations in preparation for the public markets. Since the beginning of the year our team has taken steps to adapt to changing market dynamics and put in place more cost discipline, including the workforce reduction in May.

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Explainable AI: A Way To Explain How Your AI Model Works

Dlabs.ai

Artificial intelligence can transform any organization. That’s why 37% of companies already use AI , with nine in ten big businesses investing in AI technology. Still, not everyone can appreciate the benefits of AI. Why is that? One of the major hurdles to AI adoption is that people struggle to understand how AI models work. They can see the recommendations but can’t see why they make sense.

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Our Approach to Alignment Research

OpenAI

Our approach to aligning AGI is empirical and iterative. We are improving our AI systems’ ability to learn from human feedback and to assist humans at evaluating AI. Our goal is to build a sufficiently aligned AI system that can help us solve all other alignment problems. Introduction Our alignment research aims to make artificial general intelligence (AGI) aligned with human values and follow human intent.

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Brick & Mortar Retail Relevance: How to Stay Ahead of the Curve

Speaker: Jay Black, Senior Account Executive

Let's set the record straight: in-store retail isn't dead - it's evolving! Faced with the digital age and the demands of omnichannel shopping, some retailers are thriving while others are struggling to adapt. Join Jay Black in this exclusive session as he explores the strategies that set successful stores apart, including: Crafting unique and unforgettable in-store experiences 🛍️ Mastering the art of retail demands 🛒 Navigating inventory challenges in today's climate 📦 an

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Discovering when an agent is present in a system

DeepMind

We want to build safe, aligned artificial general intelligence (AGI) systems that pursue the intended goals of its designers. Causal influence diagrams (CIDs) are a way to model decision-making situations that allow us to reason about agent incentives. By relating training setups to the incentives that shape agent behaviour, CIDs help illuminate potential risks before training an agent and can inspire better agent designs.

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spaCy behind the scenes: library patterns & design concepts explained

Explosion

Developer productivity has been central to our design of spaCy, both in smaller decisions and some of the bigger architectural questions. We believe in embracing the complexities of machine learning, not hiding it away under leaky abstractions, while also maintaining the developer experience. Read on to learn some of the design patterns within the library, how we've implemented them, and most importantly, why.

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Comprehensive Guide to Edge Detection Algorithms

Analytics Vidhya

Introduction Image processing is a widely used concept to exploit the information from the images. Image processing algorithms take a long time to process the data because of the large images and the amount of information available in it. So, in these edge-cutting techniques, it is necessary to reduce the amount of information that the […]. The post Comprehensive Guide to Edge Detection Algorithms appeared first on Analytics Vidhya.

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Take the Route to AI Success with DataOps and MLOps

DataRobot Blog

If you’ve been keeping up with business literature lately, you know that adopting artificial intelligence (AI) strategies can increase company revenue, improve efficiency, and keep customers happy. But even the best models cannot improve performance until they are put into production. What are companies actually doing today? Alexander Rode and Timm Grosser, analysts at the Business Application Research Center (BARC), decided to find out by surveying 248 companies from a variety of industries abo

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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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This AI Can Read Minds

Dlabs.ai

A new month means a new issue of InsideAI. And this August, we’re diving into both the good and bad of artificial intelligence. As we all know, AI has plenty of applications that are changing lives for the better (check the second news story), and some even save lives (like the AI lifeguard!). But if the technology falls into the wrong hands, it’s anyone’s guess what we’ll see.

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New and improved content moderation tooling

OpenAI

We are introducing a new and improved content moderation tool. The Moderation endpoint improves upon our previous content filter, and is available for free today to OpenAI API developers.

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Realising scientists are the real superheroes

DeepMind

Meet Edgar Duéñez-Guzmán, a research engineer on our Multi-Agent Research team who’s drawing on knowledge of game theory, computer science, and social evolution to get AI agents working better together.

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