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. The following diagram illustrates the complete architecture implemented as part of this series.

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The MLOps Blog

MARCH 15, 2023

As the volume of data keeps increasing at an accelerated rate, these data tasks become arduous in no time leading to an extensive need for automation. This is what data processing pipelines do for you. Data Transformation : Putting data in a standard format post cleaning and validation steps.

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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.

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Pickl AI

OCTOBER 22, 2024

It works well with data visualisation platforms like Kibana for analytics and reporting. Rich Ecosystem Elasticsearch is part of the larger Elastic Stack, which includes tools like Logstash for data ingestion and Kibana for data visualisation. Thus, it offers an end-to-end solution for data processing and analysis.

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Heartbeat

NOVEMBER 6, 2023

Image Source —  Pixel Production Inc In the previous article, you were introduced to the intricacies of data pipelines, including the two major types of existing data pipelines. You also learned how to build an Extract Transform Load (ETL) pipeline and discovered the automation capabilities of Apache Airflow for ETL pipelines.

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AWS Machine Learning Blog

JANUARY 21, 2025

How Amazon SageMaker Canvas can help retail and CPG manufacturers solve their forecasting challenges The combination of a user-friendly UI interface and automated ML technology available in SageMaker Canvas gives users the tools to efficiently build, deploy, and maintain ML models with little to no coding required.

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AWS Machine Learning Blog

SEPTEMBER 19, 2024

You could further optimize the time for training in the following graph by using a SageMaker managed warm pool and accessing pre-downloaded models using Amazon Elastic File System (Amazon EFS). Make sure you download the base model from Hugging Face before it’s fine-tuned using the use_downloaded_model parameter. 8B model with LoRA.

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ODSC - Open Data Science

DECEMBER 9, 2024

Databricks offers a cloud-based platform optimized for data engineering and collaborative analytics at scale. It brings together data ingestion, transformation, model training, and deployment in one integrated workflow. Additionally, no-code automated machine learning (AutoML) solutions like H20.ai

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Flipboard

NOVEMBER 27, 2024

Solution overview The code in the accompanying GitHub repo provided in this solution enables an automated deployment of Amazon Bedrock Knowledge Bases, Amazon Bedrock Guardrails, and the required resources to integrate the Amazon Bedrock Knowledge Bases API with a Slack slash command assistant using the Bolt for Python library.

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Flipboard

NOVEMBER 26, 2024

Additionally, agents streamline workflows and automate repetitive tasks. With the power of AI automation, you can boost productivity and reduce costs. The RAG-based chatbot we use ingests the Amazon Bedrock User Guide to assist customers on queries related to Amazon Bedrock.

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AWS Machine Learning Blog

OCTOBER 11, 2024

Generative AI is used in various use cases, such as content creation, personalization, intelligent assistants, questions and answers, summarization, automation, cost-efficiencies, productivity improvement assistants, customization, innovation, and more. The agent returns the LLM response to the chatbot UI or the automated process.

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