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Distributed AI: global and geo-partitioned RAG architecture with Google Cloud Spanner for…
Distributed AI: global and geo-partitioned RAG architecture with Google Cloud Spanner for…
Creating and querying a geo-partitioned global database for embedding-based similarity search
Christoph Bussler
Jul 22
Integrating Vertex AI Agent Builder with web app: A Lesson in Simplicity
Integrating Vertex AI Agent Builder with web app: A Lesson in Simplicity
Recently, I had the opportunity to support a customer using Google Cloud during one of their hackathons. One of their teams decided to…
Timothy Jabez
Jul 22
Running Google’s Gemma2 LLM locally with LangchainJS & Ollama
Running Google’s Gemma2 LLM locally with LangchainJS & Ollama
This article explores running Google’s powerful Gemma2 LLM locally using JavaScript, LangchainJS & Ollama.
Julien Landuré
Jul 22
Orchestrate Generative AI Applications
Orchestrate Generative AI Applications
with Cloud Workflows
Sascha Heyer
Jul 20
AI Assisted Red Teaming — An efficient approach
AI Assisted Red Teaming — An efficient approach
Discovering AI capabilities in security testing
Imran Roshan
Jul 22
Control LLM costs with context caching
Control LLM costs with context caching
Introduction
Mete Atamel
Jul 18
PyTorch Models on Cloud TPUs: An Introduction
PyTorch Models on Cloud TPUs: An Introduction
So, maybe you’re a data scientist that has been prototyping a model using PyTorch on your local machine looking for flexible ways to…
Duncan Campbell
Jul 17
Latest
Solar Skates: A Sustainable and Portable Transportation Solution Powered by Google Cloud Platform
Solar Skates: A Sustainable and Portable Transportation Solution Powered by Google Cloud Platform
Project Objective and Intent
Drraghavendra
Jul 21
Leveraging Google Cloud for Industrial AI: Choosing the Right Approach
Leveraging Google Cloud for Industrial AI: Choosing the Right Approach
Artificial Intelligence (AI) is revolutionizing the way industries operate — from predicting equipment failures to optimizing production/…
Snehanshu Jena
Jul 18
Streamlit & Google Cloud Storage: Your Easy File Upload Guide
Streamlit & Google Cloud Storage: Your Easy File Upload Guide
A Python tutorial to upload files to Google Cloud using Streamlit
Allan Alfonso
Jul 17
Help! I can’t SSH into Google Compute Engine
Help! I can’t SSH into Google Compute Engine
There you are, you’ve just created a brand new shiny virtual machine on Google Compute Engine. You click on the SSH button in the console…
Gabe Weiss
Jul 17
Data Consistency Across Bigtable Clusters
Data Consistency Across Bigtable Clusters
Learn how to potentially achieve strong consistency in Bigtable!
Kunal Kumar Gupta
Jul 17
Multimodal Batch Predictions with Gemini
Multimodal Batch Predictions with Gemini
For non latency sensitive workloads which are post-facto in nature, Gemini offers an efficient way of generating predictions with Batch…
Ravi Manjunatha
Jul 17
Is a Zero Temperature Deterministic?
Is a Zero Temperature Deterministic?
Learn more about a crucial LLM model parameter, and how to configure it on Gemini Pro with Vertex AI
Karl Weinmeister
Jul 17
Data Obfuscation for BigQuery Row Level Security Lookup Table
Data Obfuscation for BigQuery Row Level Security Lookup Table
BigQuery Row Level Security via lookup tables reveal the rules to all users. Data obfuscation via hashing can hide this information.
Yunus Durmuş
Jul 17
Optimizing Platelets and Plasma Collection, Management, and Distribution using Google Cloud…
Optimizing Platelets and Plasma Collection, Management, and Distribution using Google Cloud…
Introduction:
Drraghavendra
Jul 16
VAQ #2— How to evaluate LLMs with custom criteria using Vertex AI AutoSxS
VAQ #2— How to evaluate LLMs with custom criteria using Vertex AI AutoSxS
How to evaluate and compare the performance of LLMs on custom tasks using specific evaluation criteria with Vertex AI AutoSxS
Ivan Nardini
Jul 16
Document AI — Custom Processors
Document AI — Custom Processors
In the last blog of Document AI blogs series, we covered details about what is Document AI, What are its key features, What are Document…
Vasu Mittal
Jul 15
Korvus: Efficient Retrieval-Augmented Generation (RAG) Pipeline on GCP with TensorFlow
Korvus: Efficient Retrieval-Augmented Generation (RAG) Pipeline on GCP with TensorFlow
A Unified Approach to Retrieval-Augmented Generation (RAG) Pipelines
Drraghavendra
Jul 15
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