IBM Journey to AI blog

JANUARY 11, 2024

With a lean set of commands, it shouldn’t be a complicated language for newer developers to learn or understand. And there’s no reason why mainframe applications wouldn’t benefit from agile development and smaller, incremental releases within a DevOps-style automated pipeline.

Generative AI 307

Generative AI DevOps AI AI 307

Pickl AI

APRIL 17, 2023

How can a DevOps team take advantage of Artificial Intelligence (AI)? DevOps is mainly the practice of combining different teams including development and operations teams to make improvements in the software delivery processes. So now, how can a DevOps team take advantage of Artificial Intelligence (AI)?

DevOps 52

DevOps Artificial Intelligence Artificial Intelligence Machine Learning 52

AWS Machine Learning Blog

OCTOBER 16, 2024

It uses deep learning to convert audio to text quickly and accurately. Amazon Transcribe offers deep learning capabilities, which can handle a wide range of speech and acoustic characteristics, in addition to its scalability to process anywhere from a few hundred to over tens of thousands of calls daily, also played a pivotal role.

Machine Learning 76

Machine Learning Data Scientist Deep Learning ML 76

AWS Machine Learning Blog

MARCH 21, 2025

Renu has a strong passion for learning with her area of specialization in DevOps. /samples/2003.10304/page_0.png' Renu Yadav is a Solutions Architect at Amazon Web Services (AWS), where she works with enterprise-level AWS customers providing them with technical guidance and help them achieve their business objectives.

Metadata 109

Metadata Convolutional Neural Networks Generative AI Data Scientist 109

Flipboard

FEBRUARY 10, 2025

For a comprehensive list of supported deep learning container images, refer to the available Amazon SageMaker Deep Learning Containers. Bobby Lindsey is a Machine Learning Specialist at Amazon Web Services. Hes been in technology for over a decade, spanning various technologies and multiple roles.

LLM 160

LLM AI AI Python 160

Flipboard

NOVEMBER 24, 2023

Therefore, BMW established a centralized ML/deep learning infrastructure on premises several years ago and continuously upgraded it. To add to this, limited self-service capabilities were available, requiring high operational effort for its DevOps teams. This results in faster experimentation and shorter idea validation cycles.

ML 152

ML DevOps Data Scientist ML Engineer 152

Heartbeat

FEBRUARY 1, 2023

Comparing MLOps and DevOps DevOps is a software development method that brings together multiple teams to organize and conspire to create more efficient and reliable products. One thing that DevOps and MLOps have in common is that they both emphasize process automation. Learn more lessons from the field with Comet experts.

DevOps 96

DevOps Machine Learning Data Scientist Software Engineer 96

AWS Machine Learning Blog

MARCH 3, 2025

Under Application and OS Images (Amazon Machine Image) , select an AWS Deep Learning AMI that comes preconfigured with NVIDIA OSS driver and PyTorch. For our deployment, we used Deep Learning OSS Nvidia Driver AMI GPU PyTorch 2.3.1 Amazon Linux 2). model=meta-llama/Llama-3.2-3B patents.

Conversational AI 71

Conversational AI Deep Learning AI AI 71

Becoming Human

APRIL 19, 2024

These models provide human-like outputs in text, picture, and code among other domains by utilizing methods like deep learning along with neural networks. To anticipate protein folding, a persistent problem in biology, Alpha Fold makes use of deep learning.

Software Development 103

Software Development Generative AI DevOps Automation 103

AWS Machine Learning Blog

JUNE 11, 2024

release , you can now launch Neuron DLAMIs (AWS Deep Learning AMIs) and Neuron DLCs (AWS Deep Learning Containers) with the latest released Neuron packages on the same day as the Neuron SDK release. AWS DLCs provide a set of Docker images that are pre-installed with deep learning frameworks.

Deep Learning 113

Deep Learning ML Automation Auto-complete 113

ODSC - Open Data Science

APRIL 12, 2023

Comet Comet’s mission is to provide support for enterprise deep learning at scale. Providing DevOps, product, and technical support, Comet enables organizations to personalize their experience on Comet’s platform, training their models with their own tools.

Data Science 97

Data Science Deep Learning DevOps Software Development 97

Unite.AI

OCTOBER 16, 2023

The underpinnings of LLMs like OpenAI's GPT-3 or its successor GPT-4 lie in deep learning, a subset of AI, which leverages neural networks with three or more layers. Through training, LLMs learn to predict the next word in a sequence, given the words that have come before.

Large Language Models 184

Large Language Models LLM Machine Learning Neural Network 184

Unite.AI

DECEMBER 19, 2023

Carl Froggett, is the Chief Information Officer (CIO) of Deep Instinct , an enterprise founded on a simple premise: that deep learning , an advanced subset of AI, could be applied to cybersecurity to prevent more threats, faster. Generally, these customers are also adopting a “shift left” with DevOps.

Neural Network 144

Neural Network Deep Learning ML Metadata 144

ODSC - Open Data Science

APRIL 17, 2023

DevSecOps includes all the characteristics of DevOps, such as faster deployment, automated pipelines for build and deployment, extensive testing, etc., Minor changes in the input data that are very apparent to human intelligence are not so for deep learning models.

Data Science 97

Data Science DevOps Deep Learning Automation 97

AWS Machine Learning Blog

MAY 7, 2024

The AWS partnership with Hugging Face allows a seamless integration through SageMaker with a set of Deep Learning Containers (DLCs) for training and inference, and Hugging Face estimators and predictors for the SageMaker Python SDK. Mateusz Zaremba is a DevOps Architect at AWS Professional Services.

Automation 122

Automation Auto-complete DevOps UX Design 122

Bugra Akyildiz

JANUARY 25, 2025

Real-time Processing : While not explicitly stated, the use of a parameter-free transform and an existing Libraries DeepRec is a high-performance recommendation deep learning framework based on TensorFlow 1.15 , Intel-TensorFlow and NVIDIA-TensorFlow. It is hosted in incubation in LF AI & Data Foundation.

LLM 52

LLM Large Language Models Neural Network DevOps 52

AWS Machine Learning Blog

AUGUST 26, 2024

The Step Functions workflow has three steps: Convert the audio input to English text using Amazon Transcribe, an automatic speech-to-text AI service that uses deep learning for speech recognition. We can call the Amazon Bedrock API directly from the Step Functions workflow to save on Lambda compute cost.

Generative AI 113

Generative AI DevOps AI AI 113

AWS Machine Learning Blog

JUNE 27, 2023

Earth.com’s leadership team recognized the vast potential of EarthSnap and set out to create an application that utilizes the latest deep learning (DL) architectures for computer vision (CV). That is where Provectus , an AWS Premier Consulting Partner with competencies in Machine Learning, Data & Analytics, and DevOps, stepped in.

DevOps 109

DevOps ML Machine Learning ML Engineer 109

AWS Machine Learning Blog

NOVEMBER 21, 2023

These two crucial parameters influence the efficiency, speed, and accuracy of training deep learning models. The following figure illustrates an SDK for high-performance deep learning inference. As part of his PhD, he worked on physics-based deep learning for numerical simulations at scale.

ML 98

ML Deep Learning Machine Learning DevOps 98

AWS Machine Learning Blog

OCTOBER 16, 2023

As an AI-powered solution, Veriff needs to create and run dozens of machine learning (ML) models in a cost-effective way. These models range from lightweight tree-based models to deep learning computer vision models, which need to run on GPUs to achieve low latency and improve the user experience. Miguel Ferreira works as a Sr.

Data Scientist 100

Data Scientist Computer Vision DevOps ML 100

IBM Journey to AI blog

FEBRUARY 14, 2024

Financial services AI-powered FinOps (Finance + DevOps) helps financial institutions operationalize data-driven cloud spend decisions to safely balance cost and performance in order to minimize alert fatigue and wasted budget. AI platforms can use machine learning and deep learning to spot suspicious or anomalous transactions.

Computer Vision 247

Computer Vision NLP Robotics Automation 247

Viso.ai

DECEMBER 20, 2023

Modern vision systems use algorithms based on machine learning, deep learning especially, that need to be trained on images annotated by humans (supervised learning). A deep learning model trained for AI vision inspection in Manufacturing Where can I try CVAT?

Computer Vision 98

Computer Vision Deep Learning Neural Network Machine Learning 98

AWS Machine Learning Blog

JANUARY 21, 2025

Amazon Lex is powered by the same deep learning technologies used in Alexa. He specializes in DevOps, operational excellence, and automation using DevSecOps practices and infrastructure as code. Outside of work, she enjoys spending time with family and spreading the power of meditation.

Generative AI 76

Generative AI Auto-complete Responsible AI Automation 76

TheSequence

DECEMBER 3, 2023

Additionally, AWS Q, an agent capable of performing various developer and devops operations, supports native integration with AWS services. GNoME Google DeepMind published a paper detailing Graph Networks for Materials Exploration (GNoME), a deep learning model that was able to discover new materials.

AI Strategy 110

AI Strategy Generative AI DevOps Data Quality 110

AWS Machine Learning Blog

APRIL 19, 2023

The DJL is a deep learning framework built from the ground up to support users of Java and JVM languages like Scala, Kotlin, and Clojure. With the DJL, integrating this deep learning is simple. Business requirements We are the US squad of the Sportradar AI department. The architecture of DJL is engine agnostic.

ML 85

ML Deep Learning Python Auto-classification 85

Unite.AI

JUNE 24, 2024

Machine Learning Operations (MLOps) is a set of practices and principles that aim to unify the processes of developing, deploying, and maintaining machine learning models in production environments. As the adoption of machine learning in various industries continues to grow, the demand for robust MLOps tools has also increased.

Data Drift 120

Data Drift Machine Learning Data Scientist ML 120

AWS Machine Learning Blog

MAY 16, 2024

Therefore, we decided to introduce a deep learning-based recommendation algorithm that can identify not only linear relationships in the data, but also more complex relationships. MLOps component 4: CI/CD structure A CI/CD structure is a fundamental part of DevOps, and is also an important part of organizing an MLOps environment.

Deep Learning 111

Deep Learning Auto-complete Algorithm ML 111

AWS Machine Learning Blog

SEPTEMBER 1, 2023

As per the definition and the required ML expertise, MLOps is required mostly for providers and fine-tuners, while consumers can use application productionization principles, such as DevOps and AppDev to create the generative AI applications. The journey of providers FM providers need to train FMs, such as deep learning models.

Generative AI 120

Generative AI Prompt Engineer Prompt Engineering ML 120

The MLOps Blog

JUNE 27, 2023

With extensive language support and integration with major deep learning frameworks, the Model Hub simplifies the integration of pre-trained models and libraries into existing workflows, making it a valuable resource for researchers, developers, and data scientists. Monitor the performance of machine learning models. Run:ai Run.ai

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

AWS Machine Learning Blog

SEPTEMBER 16, 2024

The model diverges from traditional embedding models by employing deep learning to evaluate the alignment between each document and the query directly. Cohere Rerank uses deep learning to evaluate the alignment between documents and queries, outputting a relevance score that enables more nuanced document selection.

Deep Learning 107

Deep Learning Generative AI DevOps Machine Learning 107

Marktechpost

JULY 17, 2023

What Relationship Exists Between Predictive Analytics, Deep Learning, and Artificial Intelligence? For machine learning to identify common patterns, large datasets must be processed. Deep learning is a branch of machine learning frequently used with text, audio, visual, or photographic data.

Machine Learning 98

Machine Learning Data Mining Data Scientist Data Science 98

AWS Machine Learning Blog

OCTOBER 22, 2024

You can learn more about the deep learning containers that are available on GitHub. She has a decade of experience in DevOps, infrastructure, and ML. Brock builds solutions for MLOps, LLMOps, and generative AI, with experience spanning infrastructure, DevOps, cloud services, SDKs, and UIs.

Automation 79

Automation LLM DevOps Python 79

Marktechpost

JULY 5, 2024

These courses cover foundational topics such as machine learning algorithms, deep learning architectures, natural language processing (NLP), computer vision, reinforcement learning, and AI ethics. Udacity offers comprehensive courses on AI designed to equip learners with essential skills in artificial intelligence.

Data Science 60

Data Science Machine Learning Data Analysis Software Engineer 60

AWS Machine Learning Blog

NOVEMBER 19, 2024

These sessions, featuring Amazon Q Business , Amazon Q Developer , Amazon Q in QuickSight , and Amazon Q Connect , span the AI/ML, DevOps and Developer Productivity, Analytics, and Business Applications topics. You must bring your laptop to participate.

ML 85

ML Generative AI AI AI 85

AWS Machine Learning Blog

MARCH 30, 2023

Kumar Chellapilla is a General Manager and Director at Amazon Web Services and leads the development of ML/AI Services such as human-in-loop systems, AI DevOps, Geospatial ML, and ADAS/Autonomous Vehicle development. His research interests are 3D deep learning, and vision and language representation learning.

Machine Learning 92

Machine Learning Convolutional Neural Networks Neural Network Computer Vision 92

AWS Machine Learning Blog

AUGUST 16, 2023

AWS-managed services such as AWS Lambda , Amazon DynamoDB , and Amazon SageMaker , as well as the pre-built Hugging Face Deep Learning Containers (DLCs), contributed to the pace of innovation. He helps customers with deep learning model training and inference optimization, and more broadly building large-scale ML platforms on AWS.

Large Language Models 85

Large Language Models Machine Learning Generative AI ML 85

Mlearning.ai

AUGUST 18, 2023

My interpretation to MLOps is similar to my interpretation of DevOps. DevOps cover all of the rest, like deployment, scheduling of automatic tests on code change, scaling machines to demanding load, cloud permissions, db configuration and much more. As a software engineer your role is to write code for a certain cause.

DevOps 52

DevOps Python ML ML Engineer 52