Heartbeat

AUGUST 29, 2023

While integrating deep learning into software development can be difficult, it has made significant progress in several fields, including computer vision, natural language processing, and speech recognition. Data quality and quantity are two of the biggest challenges facing deep learning in software development.

Software Development 52

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Flipboard

JANUARY 6, 2025

Creating an MLaaS solution on AWS Precise worked with the federal government agency to evaluate their needs and established a team of solution architects, software developers, data scientists, and cloud engineers to create an agency-wide MLaaS platform.

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ML Machine Learning Automation Natural Language Processing 65

NLP People

JUNE 5, 2018

Are you looking to study or work in the field of NLP? For this series, NLP People will be taking a closer look at the NLP education & development landscape in different parts of the world, including the best sites for job-seekers and where you can go for the leading NLP-related education programs on offer.

NLP 52

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AWS Machine Learning Blog

JULY 2, 2024

higher is better) Similar to the preceding TorchBench inference performance graph, we started with measuring the Hugging Face NLP model inference latency, in msec, for the eager mode, which is marked 1.0 If you need any support with ML software on Graviton, please open an issue on the AWS Graviton Technical Guide GitHub.

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Chatbots Life

MAY 16, 2023

10CLOUDS Year Founded : 2009 HQ : Warsaw, Poland Team Size : 51–200 employees Clients : TrustStamp (Identity verification), Emergent Tech (G-Coin), AlephZero (Blockchain), Tapeke (BitCoin Software Development), Tagasauris (Crowdsourcing Software Development), CallerSmart. Elite Service Delivery partner of NVIDIA.

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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

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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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.

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AWS Machine Learning Blog

MAY 10, 2023

We cover computer vision (CV), natural language processing (NLP), classification, and ranking scenarios for models and ml.c6g, ml.c7g, ml.c5, and ml.c6i SageMaker instances for benchmarking. 4xlarge; for the PyTorch NLP models, the cost savings is about 30–50% compared to c5 and c6i.4xlarge 4xlarge instances.

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Machine Learning Software Development Deep Learning ML 90

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.

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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. Prior to joining AWS, James was an architect, developer, and technology leader for over 10 years, including 6 years in engineering and 4 years in marketing & advertising industries.

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AWS Machine Learning Blog

JUNE 25, 2024

Unlike traditional natural language processing (NLP) approaches, such as classification methods, LLMs offer greater flexibility in adapting to dynamically changing categories and improved accuracy by using pre-trained knowledge embedded within the model. This provides an automated deployment experience on your AWS account.

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NVIDIA

SEPTEMBER 7, 2023

According to a recent NVIDIA survey , the top AI use cases for financial service institutions are natural language processing (NLP) and large language models (LLMs). Automated speech recognition and NLP models can now capture, recognize, understand and summarize key details in medical settings.

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Towards AI

FEBRUARY 18, 2025

The DeepSeek AI model is an advanced artificial intelligence model that performs complicated natural language processing and other processes, such as computer vision. The system distinguishes itself by allowing software developers to grow their expertise and programming flexibility.

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Flipboard

JUNE 20, 2023

These accelerators do particularly well with models with over 10 billion parameters, or computer vision models like stable diffusion (see Model Architecture Fit Guidelines for more details). Indeed, many of our customers are already using Inferentia and Trainium for a wide variety of ML use cases.

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Becoming Human

JUNE 14, 2023

However, finding the right AI Development Company can be challenging. This is where it makes sense to Hire Software Developers or Hire App Developers, depending on your specific needs. AI Development Companies: In the coming years, the demand for AI development companies is only going to increase.

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AWS Machine Learning Blog

JUNE 12, 2023

Some of the other useful properties of the architecture compared to previous generations of natural language processing (NLP) models include the ability distribute, scale, and pre-train. Deep learning (DL) models with more layers and parameters perform better in complex tasks like computer vision and NLP.

Deep Learning 76

Deep Learning Auto-classification Computer Vision Machine Learning 76

ODSC - Open Data Science

SEPTEMBER 17, 2024

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 engineers should be well-versed in NumPy as it underpins most data science and machine learning libraries.

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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. He focuses on Deep learning including NLP and Computer Vision domains.

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AWS Machine Learning Blog

MAY 4, 2023

Host NLP models using SageMaker ml.inf2 instances Before we dive deep into serving LLMs with transformers-neuronx , which is an open-source library to shard the model’s large weight matrices onto multiple NeuronCores, let’s briefly go through the typical deployment flow for a model that can fit onto the single NeuronCore.

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Generative AI Deep Learning Machine Learning Python 89

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

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AWS Machine Learning Blog

APRIL 22, 2024

With several years software engineering and an ML background, he works with customers of any size to understand their business and technical needs and design AI and ML solutions that make the best use of the AWS Cloud and the Amazon Machine Learning stack. Satish Pasumarthi is a Software Developer at Amazon Web Services.

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Software Engineer Software Development Machine Learning ML 106

Snorkel AI

MAY 4, 2023

Reinforcement learning has shown great promise in mastering complex games and decision-making tasks, while computer vision has progressed rapidly, allowing for more accurate image recognition, object detection, and scene understanding. Enterprise use cases: predictive AI, generative AI, NLP, computer vision, conversational AI.

Computer Vision 52

Computer Vision Large Language Models Natural Language Processing AI 52

Snorkel AI

MAY 4, 2023

Reinforcement learning has shown great promise in mastering complex games and decision-making tasks, while computer vision has progressed rapidly, allowing for more accurate image recognition, object detection, and scene understanding. Enterprise use cases: predictive AI, generative AI, NLP, computer vision, conversational AI.

Computer Vision 52

Computer Vision Large Language Models Natural Language Processing AI 52

AWS Machine Learning Blog

APRIL 8, 2024

Qing Lan is a Software Development Engineer in AWS. Jian Sheng is a Software Development Engineer at Amazon Web Services who has worked on several key aspects of machine learning systems. Tyler Osterberg is a Software Development Engineer at AWS.

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ODSC - Open Data Science

MAY 25, 2023

Generative NLP models in customer service. This session explores our experimentation with generative NLP models to support financial advisors in their daily client interactions. In this talk, we’ll look into both the limitations and merits of these programs and what they mean for the future of software development.

Machine Learning 52

Machine Learning Data Science Data Scientist Large Language Models 52

AWS Machine Learning Blog

JUNE 13, 2023

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. Qing Lan is a Software Development Engineer in AWS.

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AWS Machine Learning Blog

APRIL 7, 2023

As an example, smart venue solutions can use near-real-time computer vision for crowd analytics over 5G networks, all while minimizing investment in on-premises hardware networking equipment. Even ground and aerial robotics can use ML to unlock safer, more autonomous operations. To learn more, visit SageMaker Roles.

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AWS Machine Learning Blog

AUGUST 16, 2023

He previously worked in the semiconductor industry developing large computer vision (CV) and natural language processing (NLP) models to improve semiconductor processes. Software Development Engineer with Amazon Stores. In his free time, he enjoys playing chess and traveling. Nishant Krishnamoorthy is a Sr.

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Metadata Data Scientist Python ML 84

AWS Machine Learning Blog

NOVEMBER 22, 2023

An IDP pipeline usually combines optical character recognition (OCR) and natural language processing (NLP) to read and understand a document and extract specific terms or words. She focuses on NLP-specific workloads, and shares her experience as a conference speaker and a book author.

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Pickl AI

APRIL 19, 2023

Machine Learning Engineer Job Opportunities You will find several Machine Learning Engineer Job Opportunities in India for different roles that will help you understand that with ML skills you can acquire the following roles: Machine Learning Engineer Data Scientist Data Engineer Data Analyst Software Developer/Engineer Human-Centred Machine Learning (..)

Machine Learning 52

Machine Learning ML Engineer Data Scientist ML 52

Topbots

JULY 6, 2023

To test this suggestion, they trained a 175B-parameter autoregressive language model, called GPT-3 , and evaluated its performance on over two dozen NLP tasks. Code generation and software development assistance. They suggested that scaling up language models can improve task-agnostic few-shot performance. What are the results?

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LLM Large Language Models Natural Language Processing NLP 52

AWS Machine Learning Blog

APRIL 17, 2023

In addition, refer to an existing issue related to impact on the model quality on FasterTransformer for the T5 model for certain NLP tasks. He has worked with organizations ranging from large enterprises to mid-sized startups on problems related to distributed computing, and Artificial Intelligence.

Prompt Engineer 93

Prompt Engineer Prompt Engineering Deep Learning Machine Learning 93

AWS Machine Learning Blog

MAY 9, 2023

He has worked with organizations ranging from large enterprises to mid-sized startups on problems related to distributed computing and artificial intelligence. He focuses on deep learning, including NLP and computer vision domains. Software Development Engineer in AWS SageMaker team. Shruti Sharma is a Sr.

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Bugra Akyildiz

NOVEMBER 20, 2022

AI for DevOps to infuse AI/ML into the entire software development lifecycle to achieve high productivity. Libraries Collecting, labeling, and cleaning data for computer vision is a pain. There is a good number of companies using Dall-E to create various products such as Mixtiles , Cala.

ML 52

ML Data Science ETL DevOps 52

Dlabs.ai

SEPTEMBER 15, 2022

During the event, you’ll learn: The differences between running a data science and typical software development project A unique lean project management framework for data science AGILE data science Thanks to small working groups, participants will even have the chance to ask questions about specific project challenges.

Big Data 52

Big Data Artificial Intelligence Artificial Intelligence Data Science 52

Bugra Akyildiz

DECEMBER 18, 2022

Collecting, labeling, and cleaning data for computer vision is a pain. Synthetic data is faster to develop with, effectively infinite, and gives you full control to prevent bias and privacy issues from creeping in. Jump into the future and create your own data instead! Dragon can be used as a drop-in replacement for BERT.

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