AWS Machine Learning Blog

MAY 4, 2023

You can implement this workflow in Forecast either from the AWS Management Console , the AWS Command Line Interface (AWS CLI), via API calls using Python notebooks , or via automation solutions. The console and AWS CLI methods are best suited for quick experimentation to check the feasibility of time series forecasting using your data.

Automation 113

Automation Metadata Data Ingestion Data Scientist 113

AWS Machine Learning Blog

JANUARY 6, 2023

In Part 1 , we discussed the applications of GNNs and how to transform and prepare our IMDb data into a knowledge graph (KG). We downloaded the data from AWS Data Exchange and processed it in AWS Glue to generate KG files. Initializes the OpenSearch Service client using the Boto3 Python library.

Metadata 94

Metadata Machine Learning Data Scientist ML 94

AWS Machine Learning Blog

MAY 25, 2023

Amazon SageMaker Processing jobs for large scale data ingestion into OpenSearch. This notebook will ingest the SageMaker docs to an OpenSearch Service index called llm_apps_workshop_embeddings. This will download the dataset locally into the notebook and then ingest it into the OpenSearch Service index.

LLM 86

LLM Data Ingestion Python ML 86

AWS Machine Learning Blog

APRIL 8, 2024

Download press releases to use as our external knowledge base. Deploy with the SageMaker Python SDK You can use the SageMaker Python SDK to deploy the LLMs, as shown in the code available in the repository. Deploy an embedding model from the Amazon SageMaker JumpStart hub. Query the knowledge base.

LLM 115

LLM Large Language Models Machine Learning Data Ingestion 115

AWS Machine Learning Blog

APRIL 5, 2023

This includes preparing data, creating a SageMaker model, and performing batch transform using the model. Data overview and preparation You can use a SageMaker Studio notebook with a Python 3 (Data Science) kernel to run the sample code. data/images' local_file_name = Path(s3_path).name path local_data_root = f'.

Metadata 101

Metadata Neural Network ML Python 101

Heartbeat

NOVEMBER 6, 2023

Windows and Mac have docker and docker-compose packaged into one application, so if you download docker on Windows or Mac, you have both docker and docker-compose. To download it, type this in your terminal curl -LFO '[link] and press enter. This is necessary because additional Python modules need to be installed.

ETL 52

ETL Python Metadata Deep Learning 52

The MLOps Blog

JUNE 27, 2023

For example, if your team is proficient in Python and R, you may want an MLOps tool that supports open data formats like Parquet, JSON, CSV, etc., This includes features for data labeling, data versioning, data augmentation, and integration with popular data storage systems.

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

The MLOps Blog

FEBRUARY 5, 2023

Some industries rely not only on traditional data but also need data from sources such as security logs, IoT sensors, and web applications to provide the best customer experience. For example, before any video streaming services, users had to wait for videos or audio to get downloaded. pip install tensorflow== 2.7.1 !pip

Machine Learning 72

Machine Learning Big Data Auto-complete Data Ingestion 72

The MLOps Blog

MARCH 15, 2023

A typical data pipeline involves the following steps or processes through which the data passes before being consumed by a downstream process, such as an ML model training process. Data Ingestion : Involves raw data collection from origin and storage using architectures such as batch, streaming or event-driven.

ETL 59

ETL Categorization Data Integration Automation 59

ODSC - Open Data Science

DECEMBER 9, 2024

The Widespread Adoption of Open DataScience The use of open source data science tools has absolutely explodedwere talking a whopping 650% growth over the past five years. Additionally, a clear majority of current projects ( 85% to be exact) leverage open-source programming languages like Python and R rather than proprietary options.

Data Science 40

Data Science Data Scientist Python Machine Learning 40

Flipboard

NOVEMBER 27, 2024

This content builds on posts such as Deploy a Slack gateway for Amazon Bedrock by adding integrations to Amazon Bedrock Knowledge Bases and Amazon Bedrock Guardrails, and the Bolt for Python library to simplify Slack message acknowledgement and authentication requirements.

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Generative AI Data Ingestion AI AI 145

AWS Machine Learning Blog

OCTOBER 11, 2024

Data lineage and auditing – Metadata can provide information about the provenance and lineage of documents, such as the source system, data ingestion pipeline, or other transformations applied to the data. This information can be valuable for data governance, auditing, and compliance purposes.

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Metadata Generative AI LLM Data Ingestion 98