Analytics Vidhya
JUNE 20, 2022
This article was published as a part of the Data Science Blogathon. Introduction The loss function is very important in machine learning or deep learning. let’s say you are working on any problem and you have trained a machine learning model on the dataset and are ready to put it in front of your client. […]. The post Understanding Loss Function in Deep Learning appeared first on Analytics Vidhya.
DataRobot Blog
JUNE 1, 2022
Join DataRobot and leading organizations June 7 and 8 at DataRobot AI Experience 2022 (AIX) , a unique virtual event that will help you rapidly unlock the power of AI for your most strategic business initiatives. Showcasing the industry’s most innovative use of AI, this global event offers you the opportunity to learn from DataRobot data scientists—as well as AI pioneers from retailers like Shiseido Japan Co., Ltd., financial services and healthcare leaders, and the McLaren Formula 1 Team.
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Eugene Yan
JUNE 11, 2022
Understanding and spotting patterns to use code and components as intended.
DeepMind
JUNE 22, 2022
Avishkar Bhoopchand, a research engineer on the Game Theory and Multi-agent team, shares his journey to DeepMind and how he’s working to raise the profile of deep learning across Africa.
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.
Cold Takes
JUNE 23, 2022
Click lower right to download or find on Apple Podcasts, Spotify, Stitcher, etc. Note: anything in this post that you think is me subtweeting your organization is actually about, like, at least 3 organizations. (I'm currently on 4 boards in addition to Open Philanthropy 's; I've served on a bunch of other boards in the past; and more than half of my takes on boards are not based on any of this, but rather on my interactions with boards I'm not on via the many grants made by O
Artificial Intelligence Zone brings together the best content for AI and ML professionals from the widest variety of thought leaders.
Analytics Vidhya
JUNE 3, 2022
Dear Readers, I appreciate you coming onto our platform and expanding your knowledge. I am sure, by now, some of you must be interested to make a transition into the Data Science industry as it’s one of the most host-selling jobs (if we can put it that way :D). So, this DataHour session is dedicated […]. The post The DataHour: How to Transition into Data Science?
DataRobot Blog
JUNE 27, 2022
Monitoring Modern Machine Learning (ML) Methods In Production. In our previous two posts, we discussed extensively how modelers are able to both develop and validate machine learning models while following the guidelines outlined by the Federal Reserve Board (FRB) in SR 11-7. Once the model is successfully validated internally, the organization is able to productionize the model and use it to make business decisions.
Eugene Yan
JUNE 25, 2022
15 minutes a week to document your work, increase visibility, and earn trust.
DeepMind
JUNE 16, 2022
According to empirical evidence from prior works, utility degradation in DP-SGD becomes more severe on larger neural network models – including the ones regularly used to achieve the best performance on challenging image classification benchmarks. Our work investigates this phenomenon and proposes a series of simple modifications to both the training procedure and model architecture, yielding a significant improvement on the accuracy of DP training on standard image classification benchmarks.
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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?
Cold Takes
JUNE 30, 2022
Click lower right to download or find on Apple Podcasts, Spotify, Stitcher, etc. I've argued that the development of advanced AI could make this the most important century for humanity. A common reaction to this idea is one laid out by Tyler Cowen here : "how good were past thinkers at predicting the future? Don’t just select on those who are famous because they got some big things right." This is a common reason people give for being skeptical about the most important centur
Kavita Ganesan
JUNE 28, 2022
AI as a field, especially in the context of real-world applications, has been progressing at a rapid pace. This has been further accelerated by the onset of the COVID-19 pandemic. In fact, AI was found to be the most discussed technology in 2021. Having worked with numerous clients, big and small, in the integration of AI, here are 4 Business AI predictions in 2022 and beyond. #1 Many more “deployed” models In the recent past, businesses have had trouble operationalizing models and have not seen
Analytics Vidhya
JUNE 12, 2022
This article was published as a part of the Data Science Blogathon. Introduction on Quechua In this article, we will create an app for translating Spanish Audio transcriptions to Quechua. We will leverage the Gradio Python package for creating a web interface for the model and deploy our app on Hugging Face Spaces. With the advent […]. The post Translate Spanish Audio transcriptions to Quechua appeared first on Analytics Vidhya.
DataRobot Blog
JUNE 23, 2022
A loan application has a predicted likelihood of 80% of going bad – so what? Your artificial intelligence (AI) system has given you this “predicted feature” in addition to what you already know about the applicant. It is one of many features that a human would use to make a decision to accept or decline the application. Business rules set by the credit committee to control business risk and the loan portfolio also constrain accepting this application and advancing the loan.
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.
OpenAI
JUNE 23, 2022
We trained a neural network to play Minecraft by Video PreTraining (VPT) on a massive unlabeled video dataset of human Minecraft play, while using only a small amount of labeled contractor data. With fine-tuning, our model can learn to craft diamond tools, a task that usually takes proficient humans over 20 minutes (24,000 actions). Our model uses the native human interface of keypresses and mouse movements, making it quite general, and represents a step towards general computer-using agents.
DeepMind
JUNE 16, 2022
According to empirical evidence from prior works, utility degradation in DP-SGD becomes more severe on larger neural network models – including the ones regularly used to achieve the best performance on challenging image classification benchmarks. Our work investigates this phenomenon and proposes a series of simple modifications to both the training procedure and model architecture, yielding a significant improvement on the accuracy of DP training on standard image classification benchmarks.
Explosion
JUNE 21, 2022
In this video, we’ll show you how to use Prodigy for spaCy’s Span Categorizer. We’ll be annotating food recipes and looking into ways to help with consistent annotations and speed up the process with patterns and temporary models.
Dlabs.ai
JUNE 9, 2022
We’re already halfway through the year. And we can’t help but feel amazed by everything that’s happened in AI in just six months. Take this week’s lead story as the perfect example. It rewinds the clock to see a young Leo Messi in his teenage years on his way to Barcelona for the first time — the thing is: the footage isn’t old. The ‘recording’ happened just a few months back.
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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.
Analytics Vidhya
JUNE 20, 2022
This article was published as a part of the Data Science Blogathon. [link] Introduction How many rows of sample data are required (or what should be the size of the training dataset required) to build a machine learning model that can predict fraudulent transactions in a credit card fraud detection dataset containing around 284407 rows? […]. The post Is Adult Income Dataset Imbalanced?
DataRobot Blog
JUNE 16, 2022
We’re excited to announce DataRobot’s integration with Apache Airflow , a popular open source orchestration tool and workflow scheduler used by more than 12,000 organizations* across industries like financial services , healthcare , retail , and manufacturing. Airflow is a perfect tool to orchestrate stages of the DataRobot machine learning (ML) pipeline, because it provides an easy but powerful solution to integrate DataRobot capabilities into bigger pipelines, combine it with other servi
OpenAI
JUNE 13, 2022
We trained “critique-writing” models to describe flaws in summaries. Human evaluators find flaws in summaries much more often when shown our model’s critiques. Larger models are better at self-critiquing, with scale improving critique-writing more than summary-writing. This shows promise for using AI systems to assist human supervision of AI systems on difficult tasks.
DeepMind
JUNE 14, 2022
Today we caught up with Gemma Jennings, a product manager on the Applied team, who led a session on vision language models at the AI Summit, one of the world’s largest AI events for business.
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
Sebastian Ruder
JUNE 6, 2022
ACL 2022 took place in Dublin from 22nd–27th May 2022. This was my first in-person conference since ACL 2019. This is also my first conference highlights post since NAACL 2019. With 1032 accepted papers (604 long, 97 short, 331 in Findings), this post can only offer a glimpse of the diverse research presented at the conference—biased towards my research interests.
Explosion
JUNE 13, 2022
The SpanCategorizer is a spaCy component that answers the NLP community's need to have structured annotation for a wide variety of labeled spans, including long phrases, non-named entities, or overlapping annotations. In this blog post, we're excited to talk more about spancat and showcase new features to help with your span labeling needs!
Analytics Vidhya
JUNE 20, 2022
This article was published as a part of the Data Science Blogathon. Introduction If you have been paying close attention to the blockchain industry, then you have undoubtedly been familiar with the words “Web 2.0” and “Web 3.0.” There’s a good chance that you’re confused about the precise meaning of these phrases and how they […].
DataRobot Blog
JUNE 14, 2022
The ability to test models for algorithmic bias is an important part of ensuring that models are fair and balanced. Many platforms, including DataRobot’s Bias and Fairness suite, allow you to do this. However, correcting the biased behavior behind the models is more challenging. We’re excited to share that we’ve now extended our Bias and Fairness capabilities to include automated Bias Mitigation.
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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.
OpenAI
JUNE 2, 2022
Cohere, OpenAI, and AI21 Labs have developed a preliminary set of best practices applicable to any organization developing or deploying large language models.
DeepMind
JUNE 14, 2022
Today we caught up with Gemma Jennings, a product manager on the Applied team, who led a session on vision language models at the AI Summit, one of the world’s largest AI events for business.
James Thorn
JUNE 20, 2022
Reflections on machine intelligence Continue reading on Medium »
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