Analytics Vidhya

MARCH 2, 2023

Introduction Let me take you into the universe of chi-square tests and how we can involve them in Python with the scipy library. We’ll be going over the chi-square integrity of the fit test.

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Python Categorization 256

Unite.AI

FEBRUARY 6, 2024

Sherlock Biosciences is a biotechnology company based in Cambridge, Massachusetts developing diagnostic tests using CRISPR. They aim to disrupt molecular diagnostics with better, faster, affordable tests. During assay development, we test dozens to hundreds of candidate assays for each new pathogen.

Data Scientist 173

Data Scientist Machine Learning Computer Scientist ML 173

Analytics Vidhya

NOVEMBER 14, 2022

This article was published as a part of the Data Science Blogathon Introduction In this article, we will discuss DevOps, two phases of DevOps, its advantages, and why we need DevOps along with CI and CD Pipelines. The post How to Use DevOps Azure to Create CI and CD Pipelines?

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DevOps Software Development Data Science Machine Learning 363

Unite.AI

JANUARY 29, 2024

But how do we know if these models are actually any good? With new LLMs being announced constantly, all claiming to be bigger and better, how do we evaluate and compare their performance? We'll look at the pros and cons of each approach, when they are best applied, and how you can leverage them in your own LLM testing.

Large Language Models 289

Large Language Models LLM Automation NLP 289

AI News

APRIL 2, 2024

The UK and US have signed a landmark agreement to collaborate on developing rigorous testing for advanced AI systems, representing a major step forward in ensuring their safe deployments. The institutes plan to build a common approach to AI safety testing and share capabilities to tackle risks effectively.

Big Data 245

Big Data AI AI AI Modeling 245

Analytics Vidhya

OCTOBER 17, 2022

In the previous articles, we have gone through the introduction, MLOps pipeline, model training, model testing, model packaging, and model registering. We have seen how to train, test, package, and register […]. Introduction This article is part of blog series on Machine Learning Operations(MLOps).

Machine Learning 285

Machine Learning Data Science 285

Unite.AI

MAY 6, 2024

The bulk of Persistent Systems business comes from building software for enterprises, how has the advent of generative AI transformed how your team operates? The advent of generative AI (GenAI) has transformed how our team operates at Persistent, particularly in enterprise software development.

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Automation Software Engineer Generative AI Software Development 147

IBM Journey to AI blog

MARCH 22, 2024

However, various challenges arise in the QA domain that affect test case inventory, test case automation and defect volume. Managing test case inventory can become problematic due to the sheer volume of cases, which lead to inefficiencies and resource constraints.

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Automation DevOps IDP Software Development 189

Unite.AI

AUGUST 31, 2023

Thus, regulators often require that the cars get tested with passengers who can intervene and manage the controls before an accident occurs. An automated Uber test vehicle killed a 49-year-old woman named Elaine Herzberg, who was running with her bike to cross the road. We get bored watching over these technologies.

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Automation Machine Learning AI AI 290

AI Weekly

FEBRUARY 29, 2024

We explore how AI can transform roles and boost performance across business functions, customer operations and software development. artificialintelligence-news.com How AI Is Already Transforming the News Business The news business is falling apart and here comes AI to finish the job — at least that’s what some worry.

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Artificial Intelligence Artificial Intelligence Software Development AI 214

Unite.AI

FEBRUARY 12, 2024

How did you find yourself as the Senior Vice President of Go To Market Strategy for Persado? Persado describes itself as a Motivation AI platform, can you explain what Motivation AI is and how it connects emotions to language? How does Generative AI offer personalization at scale? He has a B.S. You can have both.

Natural Language Processing 277

Natural Language Processing Generative AI Explainability Machine Learning 277

Unite.AI

SEPTEMBER 20, 2023

In November 2022, we launched an AI-powered scheduling solution that helps our customers automatically optimize calendars using a number of variables to make room for new clients. Since the product launched last year, we estimate 20%+ more autistic children and adults are receiving appointments. Absolutely.

Generative AI 279

Generative AI Automation Large Language Models Data Scientist 279

Analytics Vidhya

AUGUST 5, 2022

Introduction One of the most important applications of Statistics is looking into how two or more variables relate. Hypothesis testing is used to look if there is any significant relationship, and we report it using a p-value. This article was published as a part of the Data Science Blogathon.

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Python Data Science Machine Learning 315

IBM Journey to AI blog

JANUARY 26, 2024

People try to create the most accurate and most advanced model possible—but there’s very little insight into how people use it and what motivates them to use it.” “The idea guiding this development was, ‘How can this tool inform how the community engages in the conversation about the energy transition?

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IBM Journey to AI blog

MAY 20, 2024

Have you ever wondered how these algorithms arrive at their conclusions? The answer lies in the data used to train these models and how that data is derived. In this discussion we are focused on data origins and lineage. This can save time and resources by reducing the need for extensive testing and debugging.

Machine Learning 221

Machine Learning Data Scientist ETL ML 221

AssemblyAI

MARCH 15, 2023

To do this, we introduce a number of modifications to the original Conformer architecture. In an effort to further improve our model’s accuracy on noisy audio , we implemented a modified version of Sparse Attention [ 5 ], a pruning method for achieving sparsity of the model’s weights in order to achieve regularization.

Convolutional Neural Networks 364

Convolutional Neural Networks Large Language Models Neural Network OpenAI 364

Marktechpost

MAY 23, 2024

It teaches how to perform exploratory data analysis, understand sampling principles, and select significance tests. It covers topics like descriptive statistics, probability, regression, and common significance tests. It covers topics that include estimation, t-tests, ANOVA, correlation, regression, and chi-squared tests.

Data Analysis 81

Data Analysis Python Data Science Big Data 81

Flipboard

JANUARY 9, 2024

There’s still a long road ahead to see how viable this material is as an alternative to traditional lithium-ion batteries. This discovery is just the first of many materials they’ll test in search of a better battery. “If The big point to make is the speed by which we got to a new idea, a new material.

AI 181

AI AI Artificial Intelligence Artificial Intelligence 181

IBM Journey to AI blog

NOVEMBER 10, 2023

We’ll start by going through what organizations should do prior to choosing an ERP system and then dive into best practices for implementation success. Discover and plan to implement ERP Before the ERP implementation process can occur, an organization must assess how its current systems are functioning.

Automation 286

Automation Categorization AI AI 286

IBM Journey to AI blog

MAY 13, 2024

In the previous blog , we discussed the differentiated approach by IBM to delivering enterprise-grade models. In this blog, we delve into why foundation model choices matter and how they empower businesses to scale gen AI with confidence. Why are model choices important?

Generative AI 177

Generative AI AI AI Prompt Engineer 177

Unite.AI

MARCH 18, 2024

How does Acquire.AI harnesses ongoing market analysis and practical experience to guide brands in pinpointing areas where AI can significantly enhance efficiencies, and then we help them implement it. How do you envision the future of AI impacting the finance sector? How is the energy sector benefiting from AI advancements?

Automation 306

Automation AI Strategy Algorithm Robotics 306

Unite.AI

APRIL 23, 2024

We’re looking at a (near-term) future where agents can run large-scale simulations, redesign marketing campaigns, or even automate complex R&D testing processes. However, as of now, we lack the capability to fully comprehend the magnitude of the mass shift this will cause. All we can do is speculate.

AI 264

AI AI Prompt Engineer Prompt Engineering 264

Unite.AI

DECEMBER 19, 2023

This breakthrough was showcased through their AI robot, CyberRunner, which mastered the labyrinth marble game, a test of dexterity and precision, in a remarkably short time. Using advanced model-based reinforcement learning, CyberRunner demonstrates how AI can extend its prowess into the realm of physical interaction.

Robotics 279

Robotics Artificial Intelligence Artificial Intelligence AI 279

IBM Journey to AI blog

NOVEMBER 24, 2023

The real problem lies in how the IT is organized, which reflects in how their current applications/services are built and managed (refer to Conway’s law ). We will explore key areas of acceleration with an example in this article. Subsequent phases are build and test and deploy to production.

Generative AI 227

Generative AI Auto-complete DevOps Automation 227

BAIR

NOVEMBER 14, 2023

The "example_post" is an example representative image (not GIF) that we use for each post for tweeting (see below as well) and for the emails to subscribers. You can also turn on Disqus comments, but we recommend disabling this feature. --> The actual text for the post content appears below. These are comments in HTML.

Large Language Models 239

Large Language Models ChatGPT AI AI 239

IBM Journey to AI blog

SEPTEMBER 7, 2023

In the “Managing your cloud ecosystems” blog series, we cover different strategies for ensuring that your setup functions smoothly with minimal downtime. In the third blog of the series, we’re discussing migrating your worker nodes to a new Ubuntu operating system.

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AI News

MAY 3, 2024

.” While the potential of AI is undeniable, Ros acknowledged the key mistakes businesses often make when deploying AI solutions, emphasising the importance of having a robust data strategy, building adequate data pipelines, and thoroughly testing the models.

Big Data 237

Big Data Generative AI AI AI 237

AI News

MAY 20, 2024

We all know that AI doing a lot of the legwork when it comes to making online games play – it’s got to be able to respond effectively to player behavior, make intelligent decisions, and present even the best players with worthy opponents that can test their skills. And does it do so? Yes… staggeringly well at times.

Big Data 193

Big Data AI AI Automation 193

Ehud Reiter

APRIL 8, 2024

For example, in NLG we can evaluate fluency, accuracy, or utility of texts ( blog ); we can evaluate average or worst-case quality of generated texts ( blog ); we can evaluate non-functional aspects such as response time; etc. 3 Use good test data Test data should be real data which is representative of real-world usage.

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NLP BERT Machine Learning 136

IBM Journey to AI blog

MARCH 6, 2024

Software development is one arena where we are already seeing significant impacts from generative AI tools. But before we get into how generative AI tools can make an impact, let’s speak more generally about improving developer productivity with methodologies, frameworks and best practices.

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Generative AI DevOps Software Development Auto-complete 270

IBM Journey to AI blog

APRIL 9, 2024

. “The data lake at the Masters draws on eight years of data that reflects how the course has changed over time, while using only the shot data captured with our current ball-tracking technology,” says Aaron Baughman, IBM Fellow and AI and Hybrid Cloud Lead at IBM. Lastly, watsonx.data pulls from live feeds. ” Watsonx.ai

Machine Learning 199

Machine Learning AI AI ML 199

Unite.AI

OCTOBER 18, 2023

By rigorously testing the hypotheses upon which their products are built, tech-oriented founders can mitigate risks, increase their appeal to investors, maintain regulatory compliance, foster customer trust, and enhance their marketing strategies. The preprint is, you could say, the beginning stage of a scientific article.

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Explainability Machine Learning Algorithm 295

AI News

FEBRUARY 5, 2024

It aimed to test robotic vehicles and sensors in situations involving electronic attacks, GPS disruption, and other threats to evaluate the resilience of autonomous systems expected to play a major role in future military operations. We need to understand how robust these systems are when subject to attack.

Robotics 267

Robotics Big Data AI AI 267

IBM Journey to AI blog

APRIL 10, 2024

Where and how these applications are deployed will impact time to market and value realization. Organizations need full flexibility to address important questions, including: How soon can you test your hypothesis (such as how many geographies or which user personas)? How can you realise value from your innovation sooner?

Software Engineer 224

Software Engineer Automation ML AI 224

Unite.AI

NOVEMBER 17, 2023

During the coding and testing phases, AI algorithms can detect vulnerabilities that human developers might miss. Moreover, studying the evolution of malware and attack strategies through AI enables a deeper understanding of how threats have transformed over time.

Artificial Intelligence 299

Artificial Intelligence Artificial Intelligence Automation DevOps 299

O'Reilly Media

APRIL 9, 2024

Generative AI will be used to create more and more software; AI makes mistakes and it’s difficult to foresee a future in which it doesn’t; therefore, if we want software that works, Quality Assurance teams will rise in importance. First, one of the cornerstones of QA is testing. The problem grows with the complexity of the test.

Software Development 76

Software Development AI AI Generative AI 76