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Enhance your Amazon Redshift cloud data warehouse with easier, simpler, and faster machine learning using Amazon SageMaker Canvas

AWS Machine Learning Blog

For this post we’ll use a provisioned Amazon Redshift cluster. Basic knowledge of a SQL query editor. Set up the Amazon Redshift cluster We’ve created a CloudFormation template to set up the Amazon Redshift cluster. A provisioned or serverless Amazon Redshift data warehouse. A SageMaker domain. Database name : Enter dev.

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MongoRAG: Leveraging MongoDB Atlas as a Vector Database with Databricks-Deployed Embedding Model and LLMs for Retrieval-Augmented Generation

Towards AI

Atlas is a multi-cloud database service provided by MongoDB in which the developers can create clusters, databases and indexes directly in the cloud, without installing anything locally. Get Started with Atlas MongoDB Atlas After the Cluster has been created, its time to create a Database and a collection. What is MongoDB Atlas?

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CBRE and AWS perform natural language queries of structured data using Amazon Bedrock

AWS Machine Learning Blog

The prompts are managed through Lambda functions to use OpenSearch Service and Anthropic Claude 2 on Amazon Bedrock to search the client’s database and generate an appropriate response to the client’s business analysis, including the response in plain English, the reasoning, and the SQL code.

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Build ML features at scale with Amazon SageMaker Feature Store using data from Amazon Redshift

Flipboard

Amazon Redshift uses SQL to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes, using AWS-designed hardware and ML to deliver the best price-performance at any scale. Enter a stack name, such as Demo-Redshift. This is the maximum allowed number of domains in each supported Region.

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Snowflake Snowpark: cloud SQL and Python ML pipelines

Snorkel AI

[link] Ahmad Khan, head of artificial intelligence and machine learning strategy at Snowflake gave a presentation entitled “Scalable SQL + Python ML Pipelines in the Cloud” about his company’s Snowpark service at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. Welcome everybody.

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Snowflake Snowpark: cloud SQL and Python ML pipelines

Snorkel AI

[link] Ahmad Khan, head of artificial intelligence and machine learning strategy at Snowflake gave a presentation entitled “Scalable SQL + Python ML Pipelines in the Cloud” about his company’s Snowpark service at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. Welcome everybody.

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NLP News Cypher | 08.23.20

Towards AI

This Week Sentence Transformers txtai: AI-Powered Search Engine Fine-tuning Custom Datasets Data API Endpoint With SQL It’s LIT ? They fine-tuned BERT, RoBERTa, DistilBERT, ALBERT, XLNet models on siamese/triplet network structure to be used in several tasks: semantic textual similarity, clustering, and semantic search. NLP library.