Analytics Vidhya
AUGUST 29, 2022
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 […].
BAIR
AUGUST 29, 2022
Deep neural networks have enabled technological wonders ranging from voice recognition to machine transition to protein engineering, but their design and application is nonetheless notoriously unprincipled. The development of tools and methods to guide this process is one of the grand challenges of deep learning theory. In Reverse Engineering the Neural Tangent Kernel , we propose a paradigm for bringing some principle to the art of architecture design using recent theoretical breakthroughs: fir
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O'Reilly Media
AUGUST 4, 2022
Humans are notoriously poor at judging distances. There’s a tendency to underestimate, whether it’s the distance along a straight road with a clear run to the horizon or the distance across a valley. When ascending toward a summit, estimation is further confounded by false summits. What you thought was your goal and end point turns out to be a lower peak or simply a contour that, from lower down, looked like a peak.
Eugene Yan
AUGUST 13, 2022
Pushing back on the cult of complexity.
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DataRobot Blog
AUGUST 3, 2022
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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Analytics Vidhya
AUGUST 18, 2022
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.
OpenAI
AUGUST 31, 2022
Extend creativity and tell a bigger story with DALL·E images of any size.
O'Reilly Media
AUGUST 9, 2022
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.
Wisdom Works
AUGUST 30, 2022
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.
Speaker: Jesse Hunter and Brynn Chadwick
Today’s buyers expect more than generic outreach–they want relevant, personalized interactions that address their specific needs. For sales teams managing hundreds or thousands of prospects, however, delivering this level of personalization without automation is nearly impossible. The key is integrating AI in a way that enhances customer engagement rather than making it feel robotic.
DataRobot Blog
AUGUST 18, 2022
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.
DeepMind
AUGUST 17, 2022
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.
Analytics Vidhya
AUGUST 4, 2022
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.
OpenAI
AUGUST 31, 2022
Extend creativity and tell a bigger story with DALL-E images of any size Original outpainting by Emma Catnip Today we’re introducing Outpainting, a new feature which helps users extend their creativity by continuing an image beyond its original borders — adding visual elements in the same style, or taking a story in new directions — simply by using a natural language description.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
Defined.ai blog
AUGUST 29, 2022
Welcome back, dear readers, to Defined.ai’s highlights of ICASSP 2022! In part II of our adventure chronicle, I’ll be getting nerdy and highlighting some of the best papers—in my humble opinion—that we read and discussed in Singapore. While there was an excellent system for “best papers” at the conference, I’m mainly interested in focusing on those with objective metrics for text-to-speech (TTS) systems since Evaluation of Experience (EoE) is one of our key offerings at Defined.ai, and of course
Wisdom Works
AUGUST 30, 2022
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.
DataRobot Blog
AUGUST 1, 2022
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
DeepMind
AUGUST 30, 2022
Using human and animal motions to teach robots to dribble a ball, and simulated humanoid characters to carry boxes and play football
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Analytics Vidhya
AUGUST 4, 2022
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 […].
Kavita Ganesan
AUGUST 25, 2022
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?
OpenAI
AUGUST 24, 2022
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.
fast.ai
AUGUST 24, 2022
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.
Speaker: Alexa Acosta, Director of Growth Marketing & B2B Marketing Leader
Marketing is evolving at breakneck speed—new tools, AI-driven automation, and changing buyer behaviors are rewriting the playbook. With so many trends competing for attention, how do you cut through the noise and focus on what truly moves the needle? In this webinar, industry expert Alexa Acosta will break down the most impactful marketing trends shaping the industry today and how to turn them into real, revenue-generating strategies.
DataRobot Blog
AUGUST 8, 2022
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.
DeepMind
AUGUST 30, 2022
Using human and animal motions to teach robots to dribble a ball, and simulated humanoid characters to carry boxes and play football
Analytics Vidhya
AUGUST 6, 2022
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.
Defined.ai blog
AUGUST 22, 2022
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
Speaker: Joe Stephens, J.D., Attorney and Law Professor
Ready to cut through the AI hype and learn exactly how to use these tools in your legal work? Join this webinar to get practical guidance from attorney and AI legal expert, Joe Stephens, who understands what really matters for legal professionals! What You'll Learn: Evaluate AI Tools Like a Pro 🔍 Learn which tools are worth your time and how to spot potential security and ethics risks before they become problems.
OpenAI
AUGUST 24, 2022
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.
Dlabs.ai
AUGUST 16, 2022
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.
DataRobot Blog
AUGUST 16, 2022
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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