Prefect is a workflow orchestration framework for building resilient data pipelines in Python. - PrefectHQ/prefect
🧰🛠️🔩Building Enterprise RAG Pipelines with Small, Specialized Modelsllmware provides a unified framework for building LLM-based applications (e.g., RAG, Agents), using small, specialized models that can be deployed privately, integrated with enterprise knowledge sources safely and securely,...
When you are building complex data pipelines where one job depends on another job, it’s important to share the state information between different AWS Glue jobs. This section describes how to share state between chained jobs in an AWS Glue workflow. ...
The majority of data in the world is unlabeled and unstructured. Shallow neural networks cannot easily capture relevant structure in, for instance, images, sound, and textual data. Deep networks are capable of discovering hidden structures within this ty
You’re a data scientist with experience with data modeling, business intelligence, or a traditional data pipeline and need to deal with bigger or faster data You’re a software or data engineer with experience in architecting solutions in Scala, Java, or Python and you need to integrate scalab...
was released, AutoGen (opens in new tab) has been widely adopted by researchers, developers, and enthusiasts who have created a variety of novel and exciting applications (opens in new tab) –from market research to interactive educational tools to data anal...
Richmond Alake is an AI/ML Developer Advocate at MongoDB, creating technical learning content for developers building AI applications. His background includes ML architecture, optimizing data pipelines, and developing mobile experiences with deep learning. Richmond specializes in GenAI and computer vision...
3 Natural Language Processing with Transformers: Building Language Applications with Hugging Face 4 High-Dimensional Data Analysis with Low-Dimensional Models: Principles, Computation, and Applications 5 Machine Learning Engineering with Python: Manage the production life cycle of machine learning models ...
“The partnership with Unstructured provides DataStax customers with the ability to use the latter’s capabilities to extract and transform data in multiple formats – including HTML, PDF, CSV, PNG, PPTX – and convert it into JSON files for use in AI initiatives,” said Matt Aslett, director...
Census Data & ACS The first obvious data source that comes to mind is the US Census. Every 10 years, the US government asks every household to fill out a form (online, these days) with some very basic questions - basics demographics, number of people living in th...