AWS Machine Learning Blog

MARCH 18, 2024

Harish Tummalacherla is Software Engineer with Deep Learning Performance team at SageMaker. He works on performance engineering for serving large language models efficiently on SageMaker. In his spare time, he enjoys running, cycling and ski mountaineering.

LLM 126

LLM Deep Learning Machine Learning Large Language Models 126

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 62

Data Science Machine Learning Data Analysis Software Engineer 62

Viso.ai

SEPTEMBER 2, 2024

Image annotation AI / Data Annotation Job Aside from the image annotation – there is data annotation related to AI and machine learning applications, e.g. in natural language processing (NLP), or retail. Providing training data to machine learning and computer vision engineers to define ground truth data.

Computer Vision 52

Computer Vision Software Engineer Convolutional Neural Networks Neural Network 52

AWS Machine Learning Blog

FEBRUARY 2, 2024

Embeddings capture the information content in bodies of text, allowing natural language processing (NLP) models to work with language in a numeric form. Randy has held a variety of positions in the technology space, ranging from software engineering to product management.

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ETL DevOps LLM Generative AI 116

AWS Machine Learning Blog

NOVEMBER 7, 2023

Utilizing natural language processing (NLP), Amazon Kendra comprehends both the content of documents and the underlying intent of user queries, positioning it as a content retrieval tool for RAG based solutions. He holds a master’s degree in Computer Science & Software Engineering from the University of Syracuse.

Large Language Models 117

Large Language Models Generative AI LLM AI 117

ODSC - Open Data Science

JULY 19, 2023

The people associated with this phase are primarily ML Engineers. The repository also features architecture specifically designed for Computer Vision (CV) and Natural Language Processing (NLP) use cases. Additional architecture tailored for Azure ML + Spark and IoT (Internet of Things) Edge scenarios are in development.

Machine Learning 52

Machine Learning Data Drift Data Science Data Scientist 52

The MLOps Blog

MARCH 21, 2023

It would make sure that all development and deployment workflows use good software engineering practices. CI/CD lets your engineers add code and data to start automated development, testing, and deployment, depending on how your organization is set up. . My Story DevOps Engineers Who they are?

Machine Learning 69

Machine Learning Data Scientist ML Metadata 69

The MLOps Blog

JUNE 5, 2023

In general, it’s a large language model, not altogether that different from language machine learning models we’ve seen in the past that do various natural language processing tasks. Learning software engineering best practices and understanding how ML systems get built and productionized.

Large Language Models 52

Large Language Models Machine Learning Software Engineer Natural Language Processing 52

The MLOps Blog

JUNE 27, 2023

For example, if your team works on recommender systems or natural language processing applications, you may want an MLOps tool that has built-in algorithms or templates for these use cases. MLOps tools and platforms FAQ What devops tools are used in machine learning in 20233? Check out the documentation to get started.

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

Explosion

JUNE 18, 2021

We’ve been running Explosion for about five years now, which has given us a lot of insights into what Natural Language Processing looks like in industry contexts. And of course, you should be familiar with the standard libraries and proficient at programming and software engineering more generally.

NLP 52

NLP Machine Learning Natural Language Processing DevOps 52

Heartbeat

NOVEMBER 28, 2023

MLOps is a set of principles and practices that combine software engineering, data science, and DevOps to ensure that ML models are deployed and managed effectively in production. However, deploying ML models in production can be complex and challenging. This is where MLOps comes in.

Machine Learning 52

Machine Learning ML Deep Learning Neural Network 52

AWS Machine Learning Blog

AUGUST 15, 2023

This approach has saved them months of DevOps effort per year, which means they can now allocate their time to developing innovative features instead of spending it on operational tasks. Combined with the DevOps efficiency gains, the Amazon Shopping team achieved significant cost savings.

DevOps 92

DevOps Computer Vision Automation ML 92

Marktechpost

OCTOBER 27, 2024

Best Use Cases: Game development, Windows applications, web development (ASP.NET), and enterprise software. Go is a modern language designed for concurrency and efficiency. It’s used in system programming, network programming, cloud computing, and DevOps. Prolog is a declarative, logic programming language.

Data Analysis 135

Data Analysis Machine Learning Big Data Natural Language Processing 135

AWS Machine Learning Blog

DECEMBER 18, 2024

With a strong foundation in computer vision and natural language processing, he is currently exploring the world of Generative AI and leveraging its powerful tools to craft innovative solutions for emerging challenges. He has expertise in AWS cloud services, DevOps practices, security, data analytics and generative AI.

Large Language Models 96

Large Language Models Data Scarcity LLM Generative AI 96