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.

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AWS Machine Learning Blog

MARCH 5, 2025

In this post, we explain how BMW uses generative AI technology on AWS to help run these digital services with high availability. He is interested in applying new technologies and methods in software development. His research interests include deep learning, computer vision, NLP, recommender systems, and generative AI.

Generative AI 96

Generative AI Machine Learning Data Scientist AI 96

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

NVIDIA

DECEMBER 13, 2023

AI-driven applications using deep learning with graph neural networks (GNNs), natural language processing (NLP) and computer vision can improve identity verification for know-your customer (KYC) and anti-money laundering (AML) requirements, leading to improved regulatory compliance and reduced costs.

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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

NOVEMBER 30, 2023

Conclusion In this post, we explained the SageMaker routing strategies and the new option to enable LOR routing. We explained how to enable LOR and how it can benefit your model deployments. Deepti Ragha is a Software Development Engineer in the Amazon SageMaker team. In his spare time, he tries to keep up with his kids.

Machine Learning 108

Machine Learning Software Development ML Computer Vision 108

AWS Machine Learning Blog

FEBRUARY 18, 2025

Recognizing this challenge as an opportunity for innovation, F1 partnered with Amazon Web Services (AWS) to develop an AI-driven solution using Amazon Bedrock to streamline issue resolution. Her expertise spans GenAI, ASR, Computer Vision, NLP, and time series prediction models.

Generative AI 70

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Towards AI

FEBRUARY 20, 2025

But who exactly is an LLM developer, and how are they different from software developers and ML engineers? This week in Whats AI, I dive into what this specialized role looks like, how to develop the skills for it, and what the future of work will look like. Rushi8208 is building a team for an AI-based project.

Neural Network 79

Neural Network Explainability LLM Software Development 79

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. Malav Shastri is a Software Development Engineer at AWS, where he works on the Amazon SageMaker JumpStart and Amazon Bedrock teams.

Machine Learning 80

Machine Learning Large Language Models Python Automation 80

AWS Machine Learning Blog

SEPTEMBER 23, 2024

You can ask Amazon Q Developer to help you generate code for specific tasks by inserting the following prompt: Create a function that takes in a pandas DataFrame and performs one-hot encoding for the gender, race, A1Cresult, and max_glu_serum columns. Her areas of focus include computer vision, MLOps/LLMOps, and generative AI.

ML 80

ML Computer Vision Data Scientist Machine Learning 80

Towards AI

MARCH 28, 2024

Elymsyr wants to develop new projects to improve their ML, RL, computer vision, and co-working skills. In this article, the author aims to share his experience as a software engineer using a question-driven approach to designing an LLM-powered application. If this sounds interesting, reach out in the thread!

Large Language Models 97

Large Language Models Prompt Engineer Prompt Engineering LLM 97

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

PyImageSearch

SEPTEMBER 23, 2024

Brief Overview of Vision Transformers Vision Transformers (ViTs) have emerged as a transformative architecture in the domain of computer vision, introduced by Dosovitskiy et al. Do you think learning computer vision and deep learning has to be time-consuming, overwhelming, and complicated?

Deep Learning 60

Deep Learning Python Computer Vision Software Development 60

AWS Machine Learning Blog

SEPTEMBER 22, 2023

For more information, refer to the AWS Sagemaker Developer Guide’s documentation on “ Clean Up ”. We provided code explaining how to fine-tune the base model with supervised training, train the reward model, and RL training with human reference data. His current area of research includes computer vision and efficient model training.

Machine Learning 117

Machine Learning LLM Computer Vision Large Language Models 117

Marktechpost

MAY 10, 2024

Artificial intelligence technologies that require little to no coding reflect a long-sought objective in computer science. No-code is a software design system that implements software without writing a single line of code. Video tutorials are also available on your mobile device to help you master Machine Learning.

AI Tools 114

AI Tools Machine Learning Artificial Intelligence Artificial Intelligence 114

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

Heartbeat

FEBRUARY 29, 2024

The software development landscape is constantly evolving, driven by technological advancements and the ever-growing demands of the digital age. Over the years, we’ve witnessed significant milestones in programming languages, each bringing about transformative changes in how we write code and build software systems.

Software Engineer 52

Software Engineer Software Development Large Language Models LLM 52

AWS Machine Learning Blog

JUNE 25, 2024

Explainability Provides explanations for its predictions through generated text, offering insights into its decision-making process. The project is available on GitHub and provides AWS Cloud Development Kit (AWS CDK) code to deploy. This provides an automated deployment experience on your AWS account.

Automation 119

Automation Prompt Engineer Prompt Engineering Categorization 119

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. That’s not the case.

Computer Vision 60

Computer Vision ChatGPT Deep Learning Python 60

Marktechpost

DECEMBER 10, 2023

Artificial intelligence technologies that require little to no coding reflect a long-sought objective in computer science. No-code is a software design system that implements software without writing a single line of code. Video tutorials are also available on your mobile device to help you master Machine Learning.

AI Tools 111

AI Tools Machine Learning Artificial Intelligence Artificial Intelligence 111

AWS Machine Learning Blog

APRIL 8, 2024

This version offers support for new models (including Mixture of Experts), performance and usability improvements across inference backends, as well as new generation details for increased control and prediction explainability (such as reason for generation completion and token level log probabilities).

Auto-complete 103

Auto-complete LLM Deep Learning Machine Learning 103

AWS Machine Learning Blog

APRIL 22, 2024

In this post, we introduce a solution to integrate HyperPod clusters with AWS Managed Microsoft AD, and explain how to achieve a seamless multi-user login environment with a centrally maintained directory. He has worked on projects in different domains, including MLOps, computer vision, and NLP, involving a broad set of AWS services.

Software Engineer 106

Software Engineer Software Development Machine Learning ML 106

Mlearning.ai

JUNE 2, 2023

You can add styled titles and make your code in a blog format which can explain all the steps along the way with diagrams etc. Computer Vision The golden rule is to balance both. However, if you are working on a software development project that requires a more structured and modular approach, then .py

Python 52

Python Neural Network Computer Vision Machine Learning 52

AWS Machine Learning Blog

SEPTEMBER 13, 2024

Conclusion In this post, we explained how the new sticky routing feature in Amazon SageMaker allows you to achieve ultra-low latency and enhance your end-user experience when serving multi-modal models. He specializes in machine learning, AI, and computer vision domains, and holds a master’s degree in computer science from UT Dallas.

Generative AI 87

Generative AI Deep Learning Software Engineer Machine Learning 87

AWS Machine Learning Blog

OCTOBER 11, 2023

Conclusion In this post, we looked at how LLMs use memory and explained how continuous batching improves the throughput using an LMI container on SageMaker. His expertise lies in Deep Learning in the domains of Natural Language Processing (NLP) and Computer Vision. Qing Lan is a Software Development Engineer in AWS.

Auto-complete 114

Auto-complete LLM Machine Learning Deep Learning 114

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 Data Science Data Scientist Large Language Models 52

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. Some of these factors are explained below: Leadership In The AI Market NVIDIA has dominated the AI market by continued and consistent efforts towards innovation and quality.

Computer Vision 52

Computer Vision Robotics Deep Learning Artificial Intelligence 52

PyImageSearch

FEBRUARY 12, 2024

Code Comments and Documentation: While the code is generally clear, it lacks comments explaining each processing step or the choice of parameters (e.g., Do you think learning computer vision and deep learning has to be time-consuming, overwhelming, and complicated? Or requires a degree in computer science?

Computer Vision 64

Computer Vision Python ChatGPT Deep Learning 64

ODSC - Open Data Science

NOVEMBER 20, 2023

You will also become familiar with the concept of LLM as a reasoning engine that can power your applications, paving the way to a new landscape of software development in the era of Generative AI. Stable Diffusion: A New Frontier for Text-to-Image Paradigm Sandeep Singh | Head of Applied AI/Computer Vision | Beans.ai

Prompt Engineer 52

Prompt Engineer Prompt Engineering Data Science Large Language Models 52

AWS Machine Learning Blog

MAY 2, 2023

He focuses on developing scalable machine learning algorithms. His research interests are in the area of natural language processing, explainable deep learning on tabular data, and robust analysis of non-parametric space-time clustering. In her spare time, Rachna likes spending time with her family, hiking and listening to music.

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LLM Algorithm Machine Learning Natural Language Processing 87

AWS Machine Learning Blog

SEPTEMBER 19, 2023

The solution notebook feature_processor.ipynb contains the following main steps, which we explain in this post: Create two feature groups: one called car-data for raw car sales records and another called car-data-aggregated for aggregated car sales records. Prior to joining AWS, Ninad worked as a software developer for 12+ years.

ML 113

ML Data Ingestion Python Machine Learning 113

Dlabs.ai

MARCH 30, 2022

Some stores have started pairing product recommendation engines with computer vision-powered virtual mirrors to recommend items a shopper might like. That’s why we introduced full explainability, which benefited our development team as much as the client. team loves to do. can help.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Machine Learning Explainability 52

AWS Machine Learning Blog

APRIL 24, 2023

The MNIST (Modified National Institute of Standards and Technology) dataset, which is the de facto “hello world” dataset in computer vision, is a dataset of handwritten images. For Variance threshold percentage , specify the percentage of variation in the data that you want to explain by the principal components.

Data Quality 77

Data Quality Deep Learning Machine Learning ML 77

PyImageSearch

DECEMBER 19, 2022

We will unravel the magic inside DepthAI API that allows various computer vision and deep learning applications to run on the OAK device. Finally, we will run a few computer vision and deep learning examples on the OAK-D device using the pre-trained public models from the OpenVino model zoo. That’s not the case.

Neural Network 52

Neural Network Computer Vision Deep Learning Metadata 52

ODSC - Open Data Science

JANUARY 10, 2024

Takeaways include: The dangers of using post-hoc explainability methods as tools for decision-making, and where traditional ML falls short. You will also become familiar with the concept of LLM as a reasoning engine that can power your applications, paving the way to a new landscape of software development in the era of Generative AI.

Large Language Models 52

Large Language Models Deep Learning Data Science LLM 52

AWS Machine Learning Blog

OCTOBER 8, 2024

In this blog post, we explore a comprehensive approach to time series forecasting using the Amazon SageMaker AutoMLV2 Software Development Kit (SDK). We’ll walk through the data preparation process, explain the configuration of the time series forecasting model, detail the inference process, and highlight key aspects of the project.

Machine Learning 90

Machine Learning Auto-complete Auto-classification Metadata 90

Viso.ai

SEPTEMBER 12, 2024

About us: Viso Suite is our production-ready computer vision platform. To learn more about how your team can harness the power of computer vision, book a demo with our team of experts. Viso Suite is the only end-to-end computer vision platform Types of Licenses in AI AI licensing cannot be a one-size-fits-all approach.

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AI AI Responsible AI Computer Vision 52