PyImageSearch

SEPTEMBER 23, 2024

Home Table of Contents Deploying a Vision Transformer Deep Learning Model with FastAPI in Python What Is FastAPI? You’ll learn how to structure your project for efficient model serving, implement robust testing strategies with PyTest, and manage dependencies to ensure a smooth deployment process. Testing main.py

Deep Learning 60

Deep Learning Python Computer Vision Software Development 60

PyImageSearch

SEPTEMBER 30, 2024

In this blog post, we will delve into the fundamentals of CI/CD, explore why it’s crucial for modern software development, and discuss how it can be effectively implemented for Python projects. Every developer in the team had a unique approach to writing and testing their code. Or requires a degree in computer science?

Python 95

Python Computer Vision Software Development Automation 95

PyImageSearch

JANUARY 1, 2024

Gemini Pro is now available in Bard through the MakerSuite UI and their Python Software Development Kit (SDK). Google AI Studio Explore the Gemini Pro and Gemini Pro Vision models accessible via the MakerSuite UI within Google AI Studio. Or requires a degree in computer science? Join me in computer vision mastery.

Computer Vision 107

Computer Vision Deep Learning Python Natural Language Processing 107

AWS Machine Learning Blog

MARCH 5, 2025

He is interested in applying new technologies and methods in software development. Jens has been leading software development and machine learning teams with a focus on embedded, distributed systems and machine learning for more than 10 years.

Generative AI 96

Generative AI Machine Learning Data Scientist AI 96

Viso.ai

MARCH 1, 2023

Low code and no code for AI Business benefits of platforms About us: At viso.ai, we power Viso Suite , the leading no-code/low-code computer vision platform. Our technology is used by leaders worldwide to rapidly develop, deploy and scale real-time computer vision systems. Get a demo for your organization.

Computer Vision 52

Computer Vision Software Development AI AI 52

The MLOps Blog

FEBRUARY 27, 2023

Every episode is focused on one specific ML topic, and during this one, we talked to Michal Tadeusiak about managing computer vision projects. I’m joined by my co-host, Stephen, and with us today, we have Michal Tadeusiak , who will be answering questions about managing computer vision projects.

Computer Vision 52

Computer Vision Auto-classification Auto-complete ML 52

AWS Machine Learning Blog

NOVEMBER 27, 2024

Mixed Precision Training with FP8 As shown in figure below, FP8 is a datatype supported by NVIDIA’s H100 and H200 GPUs, enables efficient deep learning workloads. More details about FP8 can be found at FP8 Formats For Deep Learning. supports the Llama 3.1 (and and prior Llama models), Mixtral, and Mistral.

Deep Learning 101

Deep Learning ML Machine Learning LLM 101

Flipboard

JUNE 20, 2023

We present the results of recent performance and power draw experiments conducted by AWS that quantify the energy efficiency benefits you can expect when migrating your deep learning workloads from other inference- and training-optimized accelerated Amazon Elastic Compute Cloud (Amazon EC2) instances to AWS Inferentia and AWS Trainium.

Machine Learning 123

Machine Learning BERT Deep Learning ML Engineer 123

AWS Machine Learning Blog

FEBRUARY 13, 2025

Ashrith Chirutani is a Software Development Engineer at Amazon Web Services (AWS). He specializes in backend system design, distributed architectures, and scalable solutions, contributing to the development and launch of high-impact systems at Amazon. Vivek Bhadauria is a Principal Engineer for Amazon Bedrock.

Metadata 87

Metadata Generative AI ML AI 87

Unite.AI

MAY 10, 2024

Realizing that many of the tedious development processes in Mellanox could be automated by machine-learning algorithms, I changed my majors to optimization and machine learning and completed an MSc in the space. What future enhancements are planned for CodiumAI to further support and simplify the tasks of developers?

Large Language Models 147

Large Language Models Automation Software Development Neural Network 147

NVIDIA

AUGUST 30, 2023

By identifying congestion points and anticipating delays with vision AI, staff can proactively redirect passengers to less crowded areas or provide signals to open additional checkpoints, reducing wait times and enhancing passenger experiences. Smarter, Safer Airport Operations The Industry.AI

Deep Learning 125

Deep Learning Software Development AI AI 125

NVIDIA

JANUARY 9, 2024

The three are among over 500 software companies and startups that have developed retail, safety and security AI applications on NVIDIA Metropolis software development kits for vision AI — and that have been certified as NVIDIA Metropolis partners. BriefCam , based in Newton, Mass.,

Computer Vision 90

Computer Vision Software Development Deep Learning AI 90

AWS Machine Learning Blog

NOVEMBER 30, 2023

David Nigenda is a Senior Software Development Engineer on the Amazon SageMaker team, currently working on improving production machine learning workflows, as well as launching new inference features. Deepti Ragha is a Software Development Engineer in the Amazon SageMaker team.

Machine Learning 108

Machine Learning Software Development ML Computer Vision 108

NVIDIA

DECEMBER 13, 2023

Financial Services Firms Embrace AI for Identity Verification The financial services industry is developing AI for identity verification. Computer vision analyzes photo documentation such as drivers licenses and passports to identify fakes.

Explainability 112

Explainability Neural Network Computer Vision Generative AI 112

PyImageSearch

AUGUST 7, 2023

a software developer with a machine learning background ready to join in California), the candidates are ranked based on their experience with machine learning and expertise as a software developer, similarity of their work, living in California, and likelihood that they will respond to the job description.

Computer Vision 85

Computer Vision Neural Network Deep Learning Algorithm 85

AWS Machine Learning Blog

APRIL 7, 2025

You can use state-of-the-art model architecturessuch as language models, computer vision models, and morewithout having to build them from scratch. yml file from the AWS Deep Learning Containers GitHub repository, illustrating how the model synthesizes information across an entire repository.

Machine Learning 80

Machine Learning Large Language Models Python Automation 80

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.

Data Scientist 102

Data Scientist Computer Vision DevOps ML 102

NVIDIA

JANUARY 29, 2024

A team of 10 researchers are working on the project, funded in part by an NVIDIA Academic Hardware Grant , including engineers, computer scientists, orthopedic surgeons, radiologists and software developers.

Natural Language Processing 120

Natural Language Processing Computer Scientist Computer Vision Large Language Models 120

AWS Machine Learning Blog

JUNE 11, 2024

First, we started by benchmarking our workloads using the readily available Graviton Deep Learning Containers (DLCs) in a standalone environment. As early adopters of Graviton for ML workloads, it was initially challenging to identify the right software versions and the runtime tunings. Gaurav Garg is a Sr.

Machine Learning 98

Machine Learning Natural Language Processing Software Development ML 98

AWS Machine Learning Blog

MAY 10, 2023

To cover the popular and broad range of customer applications, in this post we discuss the inference performance of PyTorch, TensorFlow, XGBoost, and scikit-learn frameworks. About the authors Sunita Nadampalli is a Software Development Manager at AWS. Mike Schneider is a Systems Developer, based in Phoenix AZ.

Machine Learning 90

Machine Learning Software Development Deep Learning ML 90

AWS Machine Learning Blog

MAY 4, 2023

You can use ml.trn1 and ml.inf2 compatible AWS Deep Learning Containers (DLCs) for PyTorch, TensorFlow, Hugging Face, and large model inference (LMI) to easily get started. For the full list with versions, see Available Deep Learning Containers Images. petaflops of FP16/BF16 compute power.

Generative AI 89

Generative AI Deep Learning Machine Learning Python 89

AWS Machine Learning Blog

MARCH 20, 2023

In the context of deep learning, the predominant numerical format used for research and deployment has so far been 32-bit floating point, or FP32. However, the need for reduced bandwidth and compute requirements of deep learning models has driven research into using lower-precision numerical formats.

BERT 89

BERT Deep Learning ML Neural Network 89

ODSC - Open Data Science

SEPTEMBER 17, 2024

Caffe Caffe is a deep learning framework focused on speed, modularity, and expression. Software engineers interested in deep learning applications, especially those involving computer vision, can benefit from Caffe’s highly optimized code, which allows for rapid deployment.

Software Engineer 52

Software Engineer Neural Network Deep Learning Convolutional Neural Networks 52

AWS Machine Learning Blog

SEPTEMBER 23, 2024

James’s work covers a wide range of ML use cases, with a primary interest in computer vision, deep learning, and scaling ML across the enterprise. Her areas of focus include computer vision, MLOps/LLMOps, and generative AI. About the Authors James Wu is a Senior AI/ML Specialist Solution Architect at AWS.

ML 80

ML Computer Vision Data Scientist Machine Learning 80

AWS Machine Learning Blog

JUNE 13, 2023

In this post, we demonstrate how to deploy Falcon for applications like language understanding and automated writing assistance using large model inference deep learning containers on SageMaker. SageMaker large model inference (LMI) deep learning containers (DLCs) can help.

Auto-complete 86

Auto-complete Deep Learning LLM Machine Learning 86

AWS Machine Learning Blog

JULY 2, 2024

the optimizations are available in torch Python wheels and AWS Graviton PyTorch deep learning container (DLC). If you need any support with ML software on Graviton, please open an issue on the AWS Graviton Technical Guide GitHub. About the Author Sunita Nadampalli is a Software Development Manager and AI/ML expert at AWS.

Natural Language Processing 111

Natural Language Processing Python NLP Software Development 111

AWS Machine Learning Blog

SEPTEMBER 13, 2024

Multimodal is a type of deep learning using multiple modalities of data, such as text, audio, or images. We use one of the AWS provided deep learning containers as our base, namely pytorch-inference:2.3.0-gpu-py311-cu121-ubuntu20.04-sagemaker. Lingran Xia is a software development engineer at AWS.

Generative AI 87

Generative AI Deep Learning Software Engineer Machine Learning 87

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. Zach Kimberg is a Software Developer in the Amazon AI org. The architecture of DJL is engine agnostic.

ML 86

ML Deep Learning Python Auto-classification 86

PyImageSearch

OCTOBER 7, 2024

Home Table of Contents Setting Up GitHub Actions CI for FastAPI: Intro to Taskfile and Pre-Jobs Brief Overview of What We’ve Covered So Far The Importance of CI in Modern Software Development What Readers Will Learn in This Post Configuring Your Development Environment Can You Test a CI Pipeline Locally?

Computer Vision 60

Computer Vision Automation Python Deep Learning 60

AWS Machine Learning Blog

JUNE 12, 2023

Transformer neural networks A transformer neural network is a popular deep learning architecture to solve sequence-to-sequence tasks. It uses attention as the learning mechanism to achieve close to human-level performance. The DLCs are developed through a collaboration between AWS and Hugging Face.

Deep Learning 76

Deep Learning Auto-classification Computer Vision Machine Learning 76

PyImageSearch

FEBRUARY 19, 2024

Gemini Pro for Image Classification Summary and Key Takeaways Citation Information Image Classification with Gemini Pro In this tutorial, you’ll learn how to use the Gemini Pro generative model with the Google AI Python SDK (software development kit) to generate code for image classification in PyTorch.

Computer Vision 60

Computer Vision ChatGPT Deep Learning Python 60

AWS Machine Learning Blog

APRIL 8, 2024

of Large Model Inference (LMI) Deep Learning Containers (DLCs). Qing Lan is a Software Development Engineer in AWS. Qing has in-depth knowledge on the infrastructure optimization and Deep Learning acceleration. Tyler Osterberg is a Software Development Engineer at AWS.

Auto-complete 103

Auto-complete LLM Deep Learning Machine Learning 103

Marktechpost

JULY 2, 2023

Computer Vision systems In today’s world, computer vision systems are prevalent in various gadgets such as video surveillance cameras, robots, and other devices. The use of deep learning techniques for parallel computation drives the need for low-latency, flexible, and secure computational capacity.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Deep Learning Computer Vision 52

AWS Machine Learning Blog

OCTOBER 11, 2023

About the Authors Abhi Shivaditya is a Senior Solutions Architect at AWS, working with strategic global enterprise organizations to facilitate the adoption of AWS services in areas such as Artificial Intelligence, distributed computing, networking, and storage. Dhawal Patel is a Principal Machine Learning Architect at AWS.

Auto-complete 114

Auto-complete LLM Machine Learning Deep Learning 114

Viso.ai

JULY 9, 2024

By providing a single location to develop, deploy, manage, and secure the application development process, Viso Suite omits the need for point solutions. These advancements make the company’s GPU technology essential for gamers as well as for those working in deep learning and machine learning.

Computer Vision 52

Computer Vision Robotics Deep Learning Artificial Intelligence 52

AWS Machine Learning Blog

SEPTEMBER 22, 2023

He develops machine-assisted labeling solutions to help customers obtain drastic speedups in acquiring groundtruth spanning the Computer Vision, Natural Language Processing and Generative AI domain. His research interests are 3D deep learning, and vision and language representation learning.

Machine Learning 117

Machine Learning LLM Computer Vision Large Language Models 117

NLP People

JUNE 5, 2018

Babbel Based in Berlin and New York, Babbel is a language learning platform, helping one learn a new language on the go. Mozilla Mozilla is developing the concept of the Web as the platform, providing a variety of open-source software products. Open job positions can be looked up here. For open job positions click here.

NLP 52

NLP Data Mining Deep Learning Machine Learning 52