The MLOps Blog

JUNE 27, 2023

Learn more The Best Tools, Libraries, Frameworks and Methodologies that ML Teams Actually Use – Things We Learned from 41 ML Startups [ROUNDUP] Key use cases and/or user journeys Identify the main business problems and the data scientist’s needs that you want to solve with ML, and choose a tool that can handle them effectively.

Machine Learning 134

Machine Learning Machine Learning ML ML 134

DagsHub

OCTOBER 23, 2024

NoSQL Databases NoSQL databases do not follow the traditional relational database structure, which makes them ideal for storing unstructured data. They allow flexible data models such as document, key-value, and wide-column formats, which are well-suited for large-scale data management.

Machine Learning 52

Machine Learning Machine Learning Data Lakes AI 52

Heartbeat

NOVEMBER 28, 2023

Comet enables you to log essential information such as data, model architecture, hyperparameters, confusion matrices, graphs, etc. Class Labels: 5 (business, entertainment, politics, sport, tech) Download the data here. Without proper tracking, your workflow can become convoluted and challenging to navigate.

ML 52

ML ML Machine Learning Machine Learning 52

AWS Machine Learning Blog

JULY 29, 2024

With the addition of forecasting, you can now access end-to-end ML capabilities for a broad set of model types—including regression, multi-class classification, computer vision (CV), natural language processing (NLP), and generative artificial intelligence (AI)—within the unified user-friendly platform of SageMaker Canvas.

ML 111

ML ML Algorithm AWS 111

AWS Machine Learning Blog

JUNE 5, 2023

In this post, we show you how to train the 7-billion-parameter BloomZ model using just a single graphics processing unit (GPU) on Amazon SageMaker , Amazon’s machine learning (ML) platform for preparing, building, training, and deploying high-quality ML models. BloomZ is a general-purpose natural language processing (NLP) model.

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AWS ML ML Machine Learning 98

AWS Machine Learning Blog

NOVEMBER 22, 2024

Although QLoRA reduces computational requirements and memory footprint, FSDP, a data/model parallelism technique, will help shard the model across all eight GPUs (one ml.p4d.24xlarge 24xlarge ), enabling training the model even more efficiently. The results can be used for recommendation engines.

Clustering 85

Clustering AWS ML ML 85

AWS Machine Learning Blog

OCTOBER 11, 2024

Download the notebook file to use in this post. data # Assing local directory path to a python variable local_data_path = "./data/" data/" # Assign S3 bucket name to a python variable. . This will open a new browser tab for SageMaker Studio Classic. Run the SageMaker Studio application. JupyterLab will open in a new tab.

Database 104

Database AWS Clustering Data Lakes 104