Bugra Akyildiz

JUNE 11, 2023

DIDACT utilizes interactions among engineers and tools to power ML models that assist Google developers, by suggesting or enhancing actions developers take — in context — while pursuing their software-engineering tasks. self-preservation or power-seeking). These datasets were generated in a few-shot manner.

Algorithm 52

Algorithm Deep Learning Python NLP 52

AWS Machine Learning Blog

APRIL 16, 2024

Text to SQL: Using natural language to enhance query authoring SQL is a complex language that requires an understanding of databases, tables, syntaxes, and metadata. Varun Shah is a Software Engineer working on Amazon SageMaker Studio at Amazon Web Services. In his free time, he enjoys playing chess and traveling.

Data Scientist 107

Data Scientist Generative AI Machine Learning ML 107

Snorkel AI

MARCH 2, 2023

As we look at the progression, we see that these state-of-the-art NLP models are getting larger and larger over time. From a software engineering perspective, machine-learning models, if you look at it in terms of the number of parameters and in terms of size, started out from the transformer models.

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering Neural Network 52

Snorkel AI

MARCH 2, 2023

As we look at the progression, we see that these state-of-the-art NLP models are getting larger and larger over time. From a software engineering perspective, machine-learning models, if you look at it in terms of the number of parameters and in terms of size, started out from the transformer models.

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering Neural Network 52

The MLOps Blog

FEBRUARY 27, 2023

Also, science projects around technologies like predictive modeling, computer vision, NLP, and several profiles like commercial proof of concepts and competitions workshops. When we speak about like NLP problems or classical ML problems with tabular data when the data can be spread in huge databases. With NLP, that’s not so easy.

Computer Vision 52

Computer Vision Auto-classification Auto-complete ML 52

The MLOps Blog

OCTOBER 3, 2023

I started from tech, my first job was an internship at Google as a software engineer. I’m from Poland, and I remember when I got an offer from Google to join as a regular software engineer. There’s no component that stores metadata about this feature store? It was two or three times more. How awful are they?”

ML 52

ML Data Scientist Machine Learning Data Science 52

Flipboard

DECEMBER 3, 2024

Efficient metadata storage with Amazon DynamoDB – To support quick and efficient data retrieval, document metadata is stored in Amazon DynamoDB. This extracted text is then available for further analysis and the creation of metadata, adding layout-based structure and meaning to the raw data.

Generative AI 148

Generative AI Metadata Machine Learning Natural Language Processing 148

The MLOps Blog

MARCH 21, 2023

To make that possible, your data scientists would need to store enough details about the environment the model was created in and the related metadata so that the model could be recreated with the same or similar outcomes. Version control for code is common in software development, and the problem is mostly solved.

Machine Learning 69

Machine Learning Data Scientist ML Metadata 69

AWS Machine Learning Blog

JULY 20, 2023

After the components (ROIs and elements) are finalized, the reidentification process begins: images and poles in the network map are matched based on 3D metadata. He has worked on projects in different domains, including MLOps, Computer Vision, NLP, and involving a broad set of AWS services.

Automation 75

Automation Computer Vision Machine Learning ML 75

AWS Machine Learning Blog

DECEMBER 4, 2024

The core challenge lies in developing data pipelines that can handle diverse data sources, the multitude of data entities in each data source, their metadata and access control information, while maintaining accuracy. As a result, they can index one time and reuse that indexed content across use cases.

Metadata 91

Metadata Generative AI Data Ingestion Software Engineer 91

ODSC - Open Data Science

MARCH 11, 2025

About the Author of Adaptive RAG Systems: David vonThenen David is a Senior AI/ML Engineer at DigitalOcean, where hes dedicated to empowering developers to build, scale, and deploy AI/ML models in production. He brings deep expertise in building and training models for applications like NLP, data visualization, and real-time analytics.

LLM 52

LLM Metadata Software Engineer Python 52

AWS Machine Learning Blog

NOVEMBER 21, 2024

Amazon DynamoDB : Used for storing metadata and other necessary information for quick retrieval during search operations. By using natural language processing (NLP) and machine learning algorithms, Amazon Kendra can interpret the nuances of a query, ensuring that the retrieved documents and data align closely with the user’s actual intent.

AI 66

AI AI Generative AI NLP 66

Bugra Akyildiz

JANUARY 4, 2025

Lesson 2: Start with Baby Steps The evolution of Netflix's personalization approach has been gradual, moving from simple rating systems to more complex ranking and experience-based recommendations. However, it is still important to think the time dimension in a completely new dimension.

LLM 52

LLM Large Language Models Algorithm Explainability 52

AWS Machine Learning Blog

DECEMBER 19, 2024

Common patterns for filtering data include: Filtering on metadata such as the document name or URL. According to CCNet , duplicated training examples are pervasive in common natural language processing (NLP) datasets. He carries an experience of more than a decade and a half working on entire ML and software engineering stack.

LLM 88

LLM Machine Learning Natural Language Processing ML 88