Towards AI

FEBRUARY 21, 2023

Author(s): Eric Landau, Co-founder and CEO, Encord TLDR; Among the proliferation of recent use cases using the AI application ChatGPT, we ask whether it can be used to make improvements in other AI systems. We test it on a practical problem in a modality of AI in which it was not trained, computer vision, and report the results.

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Flipboard

NOVEMBER 24, 2023

With that, the need for data scientists and machine learning (ML) engineers has grown significantly. Data scientists and ML engineers require capable tooling and sufficient compute for their work. Data scientists and ML engineers require capable tooling and sufficient compute for their work.

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ML DevOps Data Scientist ML Engineer 153

AI News

MARCH 8, 2024

(open as in open-source, not as in Open AI) Looking for engineers to build real robots in Paris ?? ” The role involves collaborating with ML engineers, researchers, and product teams to develop innovative robotics solutions that “push the boundaries of what’s possible in robotics and AI.”

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Robotics Big Data Deep Learning Machine Learning 298

AWS Machine Learning Blog

MAY 9, 2024

The rapid advancements in artificial intelligence and machine learning (AI/ML) have made these technologies a transformative force across industries. According to a McKinsey study , across the financial services industry (FSI), generative AI is projected to deliver over $400 billion (5%) of industry revenue in productivity benefits.

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Unite.AI

JUNE 29, 2023

Business leaders in today's tech and startup scene know the importance of mastering AI and machine learning. However, developing these AI technologies and using tools such as Google Maps API for business purposes can be time-consuming and expensive. In such scenarios, using pre-trained APIs presents a fast and cost-friendly solution.

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Machine Learning ML AI AI 262

AWS Machine Learning Blog

OCTOBER 20, 2023

Customers of every size and industry are innovating on AWS by infusing machine learning (ML) into their products and services. Recent developments in generative AI models have further sped up the need of ML adoption across industries.

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Towards AI

AUGUST 7, 2024

Last Updated on August 8, 2024 by Editorial Team Author(s): Gift Ojeabulu Originally published on Towards AI. Why VS Code might be better for many data scientists and ML engineers than Jupyter Notebook. Essential VS Code Extensions for Data Scientists and ML Engineers.

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Data Science ML ML Engineer Data Scientist 116

IBM Journey to AI blog

AUGUST 12, 2024

AIOPs refers to the application of artificial intelligence (AI) and machine learning (ML) techniques to enhance and automate various aspects of IT operations (ITOps). ML technologies help computers achieve artificial intelligence.

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Big Data DevOps Automation Machine Learning 266

TheSequence

FEBRUARY 19, 2024

Join the next apply() virtual conference on Wednesday, April 3, for a free event that brings together the engineering community to master AI and ML in production. Since 2021, apply() has hosted more than 24,000 people with a single purpose: helping people advance their skills and expertise in AI/ML.

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ML Engineer ML AI AI 52

AWS Machine Learning Blog

FEBRUARY 12, 2024

Sharing in-house resources with other internal teams, the Ranking team machine learning (ML) scientists often encountered long wait times to access resources for model training and experimentation – challenging their ability to rapidly experiment and innovate. If it shows online improvement, it can be deployed to all the users.

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TheSequence

MARCH 8, 2024

Join industry leaders from LangChain, Meta, and Visa for insights to master AI and ML in production. VEW SPEAKER LINEUP Here’s a sneak peek of the agenda: LangChain Keynote: Hear from Lance Martin, an ML leader at LangChain, a leading orchestration framework for large language models (LLMs).

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ML Engineer ML Large Language Models Data Scientist 52

Marktechpost

SEPTEMBER 25, 2024

With the rapid advancement of technology, surpassing human abilities in tasks like image classification and language processing, evaluating the energy impact of ML is essential. Historically, ML projects prioritized accuracy over energy efficiency, contributing to increased energy consumption.

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Machine Learning ML Software Engineer ML Engineer 105

Flipboard

DECEMBER 12, 2023

Whether you're a seasoned ML engineer or a new LLM developer, these tools will help you get more productive and accelerate the development and deployment of your AI projects.

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LLM ML Engineer ML AI 165

AWS Machine Learning Blog

SEPTEMBER 20, 2023

In these scenarios, as you start to embrace generative AI, large language models (LLMs) and machine learning (ML) technologies as a core part of your business, you may be looking for options to take advantage of AWS AI and ML capabilities outside of AWS in a multicloud environment.

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AWS Machine Learning Blog

APRIL 26, 2023

Do you need help to move your organization’s Machine Learning (ML) journey from pilot to production? Most executives think ML can apply to any business decision, but on average only half of the ML projects make it to production. Challenges Customers may face several challenges when implementing machine learning (ML) solutions.

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Marktechpost

OCTOBER 12, 2024

Machine Learning (ML) models have shown promising results in various coding tasks, but there remains a gap in effectively benchmarking AI agents’ capabilities in ML engineering. MLE-bench is a novel benchmark aimed at evaluating how well AI agents can perform end-to-end machine learning engineering.

Machine Learning 116

Machine Learning OpenAI ML Engineer ML 116

TheSequence

NOVEMBER 3, 2023

Join the global ML community at this virtual event—speakers from companies like HelloFresh, Lidl Digital, Meta, PepsiCo, Riot Games, and more will share best practices around building platforms and architectures for production ML. apply(ops) is just around the corner!

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ML Engineer ML Software Engineer Software Development 52

AWS Machine Learning Blog

DECEMBER 12, 2024

The new SDK is designed with a tiered user experience in mind, where the new lower-level SDK ( SageMaker Core ) provides access to full breadth of SageMaker features and configurations, allowing for greater flexibility and control for ML engineers. In the following example, we show how to fine-tune the latest Meta Llama 3.1

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ML Python Data Scientist Natural Language Processing 89

AWS Machine Learning Blog

DECEMBER 9, 2024

With access to a wide range of generative AI foundation models (FM) and the ability to build and train their own machine learning (ML) models in Amazon SageMaker , users want a seamless and secure way to experiment with and select the models that deliver the most value for their business.

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ML Data Scientist Machine Learning Software Engineer 82

IBM Journey to AI blog

AUGUST 11, 2023

Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects. What is MLOps?

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Data Science DevOps Machine Learning Data Scientist 170

Unite.AI

JUNE 19, 2024

In world of Artificial Intelligence (AI) and Machine Learning (ML), a new professionals has emerged, bridging the gap between cutting-edge algorithms and real-world deployment. As businesses across industries increasingly embrace AI and ML to gain a competitive edge, the demand for MLOps Engineers has skyrocketed.

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Software Engineer DevOps Machine Learning ML 182

Marktechpost

MAY 30, 2024

Google plays a crucial role in advancing AI by developing cutting-edge technologies and tools like TensorFlow, Vertex AI, and BERT. Its AI courses provide valuable knowledge and hands-on experience, helping learners build and optimize AI models, understand advanced AI concepts, and apply AI solutions to real-world problems.

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Artificial Intelligence Artificial Intelligence BERT Computer Vision 132

Towards AI

JULY 19, 2023

Last Updated on July 19, 2023 by Editorial Team Author(s): Akhil Theerthala Originally published on Towards AI. How to Maximize ML Project Success with Efficient Scoping? | In Aug 2022, Forbes stated that somewhere between 60–80% of AI projects are failing, according to different sources. Step-2: Brainstorm AI solutions.

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ML Machine Learning ML Engineer Explainability 98

Flipboard

FEBRUARY 28, 2023

More posts by this contributor 4 questions to ask before building a computer vision model During the past six months, we have witnessed some incredible developments in AI. These advancements in generative AI offer further evidence that we’re on the precipice of an AI revolution. What is active learning?

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Generative AI ML Engineer Robotics Computer Vision 132

Towards AI

FEBRUARY 13, 2023

Last Updated on February 13, 2023 by Editorial Team Author(s): Akhil Theerthala Originally published on Towards AI. In Aug 2022, Forbes stated that somewhere between 60–80% of AI projects are failing, according to different sources. What can you recommend to him as an ML Engineer? A better search engine for his site.

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ML Machine Learning ML Engineer Explainability 97

AWS Machine Learning Blog

SEPTEMBER 23, 2024

Machine learning (ML) projects are inherently complex, involving multiple intricate steps—from data collection and preprocessing to model building, deployment, and maintenance. To start our ML project predicting the probability of readmission for diabetes patients, you need to download the Diabetes 130-US hospitals dataset.

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ML Computer Vision Data Scientist Software Development 95

Flipboard

NOVEMBER 28, 2023

Artificial intelligence (AI) is a rapidly evolving field with the potential to improve and transform many aspects of society. In 2023, the pace of adoption of AI technologies has accelerated further with the development of powerful foundation models (FMs) and a resulting advancement in generative AI capabilities.

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AWS Machine Learning Blog

NOVEMBER 21, 2023

Amazon Music uses the power of AI to accomplish this. However, optimizing the customer experience while managing cost of training and inference of AI models that power the search bar’s capabilities, like real-time spellcheck and vector search, is difficult during peak traffic times.

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Towards AI

MARCH 14, 2024

Last Updated on March 14, 2024 by Editorial Team Author(s): Boris Meinardus Originally published on Towards AI. I mean, ML engineers often spend most of their time handling and understanding data. So, how is a data scientist different from an ML engineer? Join thousands of data leaders on the AI newsletter.

Data Science 105

Data Science ML Engineer Data Scientist ML 105

AWS Machine Learning Blog

JUNE 25, 2024

This solution simplifies the integration of advanced monitoring tools such as Prometheus and Grafana, enabling you to set up and manage your machine learning (ML) workflows with AWS AI Chips. By deploying the Neuron Monitor DaemonSet across EKS nodes, developers can collect and analyze performance metrics from ML workload pods.

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ML Metadata Software Development Generative AI 99

AWS Machine Learning Blog

JUNE 9, 2023

a low-code enterprise graph machine learning (ML) framework to build, train, and deploy graph ML solutions on complex enterprise-scale graphs in days instead of months. With GraphStorm, we release the tools that Amazon uses internally to bring large-scale graph ML solutions to production. license on GitHub. GraphStorm 0.1

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ML BERT Machine Learning Neural Network 110

AWS Machine Learning Blog

DECEMBER 19, 2023

Artificial intelligence (AI) and machine learning (ML) are becoming an integral part of systems and processes, enabling decisions in real time, thereby driving top and bottom-line improvements across organizations. However, putting an ML model into production at scale is challenging and requires a set of best practices.

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Machine Learning ML Engineer DevOps ML 135

Towards AI

FEBRUARY 15, 2024

Author(s): Jennifer Wales Originally published on Towards AI. AI Engineers: Your Definitive Career Roadmap Become a professional certified AI engineer by enrolling in the best AI ML Engineer certifications that help you earn skills to get the highest-paying job.

AI Engineer 111

AI Engineer Software Engineer Artificial Intelligence Artificial Intelligence 111

AWS Machine Learning Blog

JULY 8, 2024

As industries begin adopting processes dependent on machine learning (ML) technologies, it is critical to establish machine learning operations (MLOps) that scale to support growth and utilization of this technology. There were noticeable challenges when running ML workflows in the cloud.

Data Scientist 127

Data Scientist ML Engineer Machine Learning ML 127

Unite.AI

NOVEMBER 10, 2023

As a result of this, integrating AI into their companies has become an utmost priority for many founders. Even individuals are looking for ways to leverage AI to improve their personal lives. For example, CNET experimented with AI-written articles , and they turned out to be full of flaws. It will work like this.

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AI AI ML Chatbots 182

AWS Machine Learning Blog

JUNE 23, 2023

For data scientists, moving machine learning (ML) models from proof of concept to production often presents a significant challenge. Additionally, you can use AWS Lambda directly to expose your models and deploy your ML applications using your preferred open-source framework, which can prove to be more flexible and cost-effective.

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Large Language Models ML Python Machine Learning 105

Marktechpost

NOVEMBER 16, 2024

In recent years, generative AI has surged in popularity, transforming fields like text generation, image creation, and code development. Learning generative AI is crucial for staying competitive and leveraging the technology’s potential to innovate and improve efficiency.

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