Unite.AI

APRIL 17, 2024

.” George Mason University’s Institute for Digital Innovation (IDIA) : “As part of the Tech Talent Investment Program, George Mason University’s Arlington Campus is undergoing a $250 million transformation into the Institute for Digital Innovation (IDIA), ” he explained. metro region. .

Artificial Intelligence 299

Artificial Intelligence Artificial Intelligence AI AI 299

IBM Journey to AI blog

SEPTEMBER 19, 2023

Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications.

Data Science 224

Data Science Data Scientist Machine Learning Data Mining 224

Flipboard

JUNE 13, 2023

Prompt: “A robot helping a software engineer develop code.” ” Generative AI is already changing the way software engineers do their jobs. We have begun scaling out its use across a broader range of engineers and expect greater value as we use it more.” Made with Microsoft Bing Image Creator.

Generative AI 175

Generative AI Auto-complete Software Engineer AI 175

Flipboard

APRIL 27, 2023

Ghostwriter — much like GitHub’s Copilot — can make suggestions and explain code, considering what users type and other context from their accounts, like the programming languages they’re using. That includes insecure code.

Software Development 129

Software Development Software Engineer Generative AI Explainability 129

ODSC - Open Data Science

MARCH 22, 2024

If you remember the CASE tools from the early 90s, software engineers back then were using something that could be considered a data contract today. In my talk , I will explain how to get started with data contracts and show you some of their power. He is passionate about software engineering and all things data.

Software Engineer 52

Software Engineer Data Science Data Platform Explainability 52

Flipboard

SEPTEMBER 25, 2023

Talc Photo) Co-founders: Matt Lee and Max Kerr Explain what your startup does in two sentences: We provide end-to-end evaluation of large language model apps. We borrow proven techniques from the latest in NLP (natural language processing) academia to build evaluation tooling that any software engineer can use. Talc AI Talc.ai

Large Language Models 137

Large Language Models Explainability Natural Language Processing Software Engineer 137

Flipboard

FEBRUARY 6, 2023

. “I realized that combining LLMs trained on code with my research on neural memory and reinforcement learning might allow us to build an AI software engineer that feels like a true colleague, not just a tool. “Magic aims to drastically reduce the time and financial cost of developing software,” Steinberger said.

Software Engineer 123

Software Engineer Neural Network Large Language Models Generative AI 123

Flipboard

MAY 31, 2023

As News Manager Margo Anderson reports online in The Institute , signatories include Senior Member and IEEE’s AI Ethics Maestro Eleanor “Nell” Watson and IEEE Fellow and chief scientist of software engineering at IBM, Grady Booch. Moore reports in the June issue’s lead news story “ Ending an Ugly Chapter in Chip Design.”

Artificial Intelligence 143

Artificial Intelligence Artificial Intelligence AI AI 143

IBM Journey to AI blog

APRIL 13, 2023

For each code example, when applicable, I explained intuitively what it does, and its inputs and outputs. Software engineering for machine learning: A case study. In 2019 IEEE/ACM 41st International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP) (pp. Amershi, S.,

Software Engineer 246

Software Engineer ML Metadata Machine Learning 246

Marktechpost

JULY 23, 2023

Most data scientists believe that deploying models is a software engineering mission and should be handled by software engineers, as all the skills required are more closely aligned with their day-to-day work. Using tools like Dataflow makes it possible to work closely with engineering teams.

Machine Learning 52

Machine Learning Software Engineer Data Scientist ML 52

Towards AI

JULY 25, 2023

Assume we’re creating an app to assist us in interview preparation: Prompt: “I’m getting ready for an interview for a position as a software engineer. Function A: This function would access the LLM’s knowledge of the software engineering field, such as its knowledge of common interview questions for software engineers.

Software Engineer 52

Software Engineer LLM Large Language Models ChatGPT 52

ODSC - Open Data Science

SEPTEMBER 19, 2023

Prompt engineers take on this challenge by optimizing LLMs to process and generate content at scale. This task involves a combination of software engineering expertise and computational efficiency. Engineers delve into the architecture of LLMs, identifying potential bottlenecks and areas for improvement.

Prompt Engineer 98

Prompt Engineer Prompt Engineering Large Language Models Software Engineer 98

Ehud Reiter

JUNE 21, 2023

One concrete way of doing this is to pre-register your experiment ; this process will force you to explain in detail what you plan to do. The key point is to plan this in advance ** before ** you start the experiment; what you dont want to do is figure out the above while you are doing the experiment!

Software Engineer 124

Software Engineer Explainability Python AI 124

ODSC - Open Data Science

JUNE 3, 2023

With an AI coding assistant, syntax becomes easier to remember as these programs can help you correct your mistakes, but most importantly, explain why a certain script that is coming up wrong is wrong. Software Engineers This wouldn’t be a proper blog if we didn’t touch the elephant in the room -software engineers.

Data Scientist 52

Data Scientist Software Engineer Data Science AI 52

ODSC - Open Data Science

MARCH 27, 2023

Scaling AI/ML Workloads with Ray Kai Fricke | Senior Software Engineer | Anyscale Inc. In this session, you will learn how explainability can help you identify poor model performance or bias, as well as discuss the most commonly used algorithms, how they work, and how to get started using them. Why is it important?

Machine Learning 98

Machine Learning Data Ingestion ML Explainability 98

Towards AI

MARCH 28, 2024

Meme shared by ghost_in_the_machine TAI Curated section Article of the week The Design Shift: Building Applications in the Era of Large Language Models by Jun Li A new trend has recently reshaped our approach to building software applications: the rise of large language models (LLMs) and their integration into software development.

Large Language Models 97

Large Language Models Prompt Engineer Prompt Engineering AI 97

Pickl AI

JULY 14, 2023

Explainable AI and Ethical Considerations (2010s-present): As AI systems became more complex and influential, concerns about transparency, fairness, and accountability arose. Researchers began addressing the need for Explainable AI (XAI) to make AI systems more understandable and interpretable.

Neural Network 52

Neural Network Software Engineer Artificial Intelligence Artificial Intelligence 52

IBM Journey to AI blog

JULY 5, 2023

Besides advancing technology in their respective fields, they are often asked to explain the why , what and how to someone not skilled in that field. Grady Booch is a legend among software engineers. Theme: Life Stories If you have ever talked with one of them, you will know that IBM Fellows are storytellers.

Software Engineer 150

Software Engineer Software Development Explainability AI 150

ODSC - Open Data Science

SEPTEMBER 27, 2023

Graphs: The Next Frontier of GenAI Explainability Amy Hodler | Founder, Consultant | GraphGeeks.org Michelle Yi | Board Member | Women In Data This talk will examine the implications of incorporating graphs into the realm of generative AI. You’ll discuss tensors, neural networks, GPUs and much more.

Neural Network 52

Neural Network Data Scientist Machine Learning Explainability 52

Pickl AI

AUGUST 21, 2023

The Data Science Roadmap: Navigating Your Path to Success Step 1: Learning About Programming or Software Engineering A strong foundation in programming languages like Python , R, or Java is essential. Data Scientists often need to explain complex findings to non-technical stakeholders.

Data Scientist 52

Data Scientist Data Science Software Engineer Machine Learning 52

ODSC - Open Data Science

OCTOBER 17, 2023

Keras Core: Keras for TensorFlow, JAX, and PyTorch Neel Kovelamudi | Software Engineer on Keras Team | Google Discover what’s new with Keras in this session. You’ll cover intrinsic and post-hoc methods for model explainability, the practical implementation of these methods, and the ethical considerations created by model opacity.

Deep Learning 52

Deep Learning Machine Learning Data Scientist Data Science 52

ODSC - Open Data Science

FEBRUARY 22, 2024

Key points of this talk are: In this talk, we will focus on: The dangers of using post-hoc explainability methods as tools for decision making, and how traditional ML isn’t suited in situations where want to perform interventions on the system. Conclusion Can’t wait to start learning from these incredible speakers and experts?

Machine Learning 52

Machine Learning Data Science Python ML 52

Flipboard

OCTOBER 23, 2023

If students get lost in class and don’t understand a mathematical operation, they can ask ChatGPT to explain it and give them a few examples. They can have a conversation with the AI tutor, telling it what they don’t understand, and the AI tutor helps to explain, said Kristen DiCerbo, the chief learning officer at Khan Academy.

ChatGPT 140

ChatGPT AI AI Artificial Intelligence 140

Robot Writers AI

DECEMBER 17, 2023

“For instance, the video’s YouTube description explains that ‘for the purposes of this demo, latency has been reduced and Gemini outputs have been shortened for brevity.’ Observes Blake: “Google modified interactions with Gemini in numerous ways in order to create the demonstration.

AI 100

AI AI ChatGPT Robotics 100

ODSC - Open Data Science

MAY 25, 2023

Explainable Time Series Classification Elisa Fromont, Professor | Faculty, Université de Rennes | IRISA/INRIA This session will dive into the importance of explaining predictions from complex machine learning models like neural networks. This session will explore the relationship between the data you use, and the effect on LLMs.

Machine Learning 52

Machine Learning Large Language Models Data Scientist Data Science 52

Heartbeat

FEBRUARY 1, 2023

MLOps acts as the link between data scientists and the production team’s operations (a team consisting of machine learning engineers, software engineers, and IT operations professionals) as they work together to develop ML models and supervise the use of ML models in production. We pay our contributors, and we don’t sell ads.

DevOps 96

DevOps Machine Learning Data Scientist Software Engineer 96

AWS Machine Learning Blog

APRIL 22, 2024

Typically, HyperPod clusters are used by multiple users: machine learning (ML) researchers, software engineers, data scientists, and cluster administrators. In his free time, he enjoys playing video games, reading books, and writing software. Satish Pasumarthi is a Software Developer at Amazon Web Services.

Software Engineer 92

Software Engineer Software Development Machine Learning ML 92

ODSC - Open Data Science

MARCH 9, 2023

Let me explain some more… Fraud modeling can be tough. Previously, he was Director and Senior Scientist at Elder Research, where he mentored and led a team of data scientists and software engineers. If you ever have modeled fraud, have you considered creating a model to predict fraud as well as a model to predict not-fraud?

Data Science 98

Data Science Software Engineer Python Data Scientist 98

AWS Machine Learning Blog

DECEMBER 19, 2023

Just like DevOps combines development and operations for software engineering, MLOps combines ML engineering and IT operations. With the rapid growth in ML systems and in the context of ML engineering, MLOps provides capabilities that are needed to handle the unique complexities of the practical application of ML systems.

Machine Learning 111

Machine Learning ML Engineer DevOps ML 111

Dlabs.ai

DECEMBER 9, 2021

Part 3: Advanced Deep Learning Techniques for Text and Speech The final part explains the latest deep learning research that intersects with NLP and speech, including attention mechanisms, transfer learning, multi-task learning, reinforcement learning, and case studies. Given the approach, it’s well suited to beginners.

Natural Language Processing 59

Natural Language Processing Neural Network NLP Deep Learning 59

DataRobot Blog

MAY 31, 2022

For example, a job description for a software engineer in the private sector was only one paragraph long, while the government job description was seven pages long. DataRobot automatically provides explainable insights such as prediction explanations to help leaders understand “why” a specific prediction is made.

AI 59

AI AI Software Engineer Explainability 59

Towards AI

JANUARY 27, 2023

I started my journey as a software engineer around technologies such as web stack including python, javascript, and java stack. When I interview many newbies, their story is usually about entering Data Science because it is termed the sexiest job of the 21st century. But I didn’t about data science in a way on how it is known.

Data Analysis 98

Data Analysis Data Science Software Engineer Business Intelligence 98

IBM Journey to AI blog

JULY 6, 2023

Machine learning engineers can specialize in natural language processing and computer vision, become software engineers focused on machine learning and more. These can be supervised learning, unsupervised learning or reinforced/reinforcement learning.

Data Science 162

Data Science Machine Learning Big Data Data Mining 162

ODSC - Open Data Science

JUNE 8, 2023

Some of our most popular in-person sessions were: Data Science Software Acceleration at the Edge: Audrey Reznik Guidera | Sr. We had bigger sessions on getting started with machine learning or SQL, up to advanced topics in NLP, and how to make deepfakes.

Data Science 52

Data Science Machine Learning Software Engineer NLP 52

Google Research AI blog

JUNE 21, 2023

Posted by Jimmy Tobin and Katrin Tomanek, Software Engineers, Google Research, AI for Social Good Google’s AI for Social Good team consists of researchers, engineers, volunteers, and others with a shared focus on positive social impact. Model word error rates (WER) for each test set (lower is better).

Responsible AI 98

Responsible AI AI AI Software Engineer 98

ODSC - Open Data Science

DECEMBER 19, 2023

They need to be able to explain complex technical concepts to non-technical stakeholders and to identify and solve problems that arise during the development and implementation of AI models. They work closely with data scientists, software engineers, and business analysts to ensure that the models are accurate and effective.

AI Product Manager 96

AI Product Manager AI Product Management Prompt Engineer Prompt Engineering 96

ODSC - Open Data Science

OCTOBER 20, 2023

The Tangent Information Modeler, Time Series Modeling Reinvented Philip Wauters | Customer Success Manager and Value Engineer | Tangent Works Existing techniques for modeling time series data face limitations in scalability, agility, explainability, and accuracy.

NLP 52

NLP Data Science Machine Learning Data Analysis 52