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Understanding Retrieval-Augmented Generation (RAG) on Google Cloud Platform (GCP)

Xebia

Retrieval-Augmented Generation (RAG) is a key technique powering more broad and trustworthy application of large language models (LLMs). By integrating external knowledge sources, RAG addresses limitations of LLMs, such as outdated knowledge and hallucinated responses.

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Create a generative AI–powered custom Google Chat application using Amazon Bedrock

AWS Machine Learning - AI

This post shows how you can implement an AI-powered business assistant, such as a custom Google Chat app, using the power of Amazon Bedrock. This also allows the Lambda function to search through the organization’s knowledge base and generate an intelligent, context-aware response using the power of LLMs.

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Innovative data integration in 2024: Pioneering the future of data integration

CIO

Of late, innovative data integration tools are revolutionising how organisations approach data management, unlocking new opportunities for growth, efficiency, and strategic decision-making by leveraging technical advancements in Artificial Intelligence, Machine Learning, and Natural Language Processing.

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AWS vs. Azure vs. Google Cloud: Comparing Cloud Platforms

Kaseya

In this blog, we’ll compare the three leading public cloud providers, namely Amazon Web Services (AWS), Microsoft Azure and Google Cloud. A subsidiary of Amazon, AWS was launched in 2006 and offers on-demand cloud computing services on a metered, pay-as-you-go basis. Google Cloud Platform Overview.

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Leveraging Serverless and Generative AI for Image Captioning on GCP

Xebia

Leveraging Serverless and Generative AI for Image Captioning on GCP In today’s age of abundant data, especially visual data, it’s imperative to understand and categorize images efficiently. TL;DR We’ve built an automated, serverless system on Google Cloud Platform where: Users upload images to a Google Cloud Storage Bucket.

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Big Data & AI News | Google Cloud Next 19 | Day Two Recap

Linux Academy

Joe Lowery here, Google Cloud Training Architect, bringing you the news from the Day 2 Keynote at the Google Cloud Next ’19 conference in San Francisco. Cloud SQL for Microsoft SQL Server and Managed Services for Active Directory. Cloud Data Fusion. Greetings one and all! Traffic Director.

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Integrating Key Vault Secrets with Azure Synapse Analytics

Apiumhub

This is a single, integrated location that allows for a data warehouse, and large data processing. Also combines data integration with machine learning. This is designed for large-scale data storage, query optimization, and analytics. on-premises, AWS, Google Cloud).

Azure 91