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The four building blocks of responsible generative AI in banking: explainability, regulation, privacy, and security.

Learn about the fundamentals of building a SaaS platform on Google Kubernetes Engine (GKE) and explore popular SaaS GKE architectures and storage options.

Learn why ISACs are valuable security partners for Google Cloud and the industry in this Cloud CISO Perspectives blogpost.

Build a foundation model (FM) powered customer service bot with agents for Amazon Bedrock

Learn how to harness the power of retrieval-augmented generation using LangChain and Amazon SageMaker JumpStart, and leverage MongoDB Atlas semantic search for domain-specific tasks.

Moderate Amazon IVS live stream using Amazon Rekognition with automated content moderation and human-in-the-loop review.

Host and scale your applications close to your users with ease using Fly.io

Explore the importance of data normalization strategies for building a Cybersecurity Lakehouse and learn how to overcome challenges in this final part of the 'Cybersecurity Lakehouses Best Practices' blog series.

Challenges and solutions for utilizing enterprise-grade large language models (LLMs) in AI applications

Addressing enterprise challenges with large language models (LLMs) in AI through data-centric development, with a focus on customization and accuracy.

Learn how to optimize the scaling of your EMA model for improved training dynamics and performance in machine learning.

Automating Behavioral Testing in Machine Translation: Proposing a practical evaluation framework using Large Language Models (LLMs) to generate source sentences and verify behavior of MT systems.