Welcome to the second Cloud CISO Perspectives for September 2024. Today, Google Cloud’s Vinod D’Souza and Chris Cornillie examine the vital role that CISOs play in working with cloud providers to improve their organization’s incident preparedness. As with all Cloud CISO Perspectives, the contents of this newsletter are posted to the Google Cloud blog. If […]
The 2024 Looker Hackathon (Vertex AI Edition) was a special one, as we invited our developer and data communities to collaborate, learn, and inspire each other, with a focus on how to use Vertex AI, Google Cloud’s AI development platform, with Looker and Looker Studio. More than 160 participants from 34 countries joined, hacked away
Winners of the 2024 Looker Hackathon (Vertex AI Edition) Read More »
You’ve probably felt the frustration that arises when a project fails to meet established deadlines. And perhaps you’ve also encountered scenarios where project staff or computing have been reallocated to higher priority projects. It can be super challenging to get projects done on time with this kind of uncertainty. That’s especially true for Site Reliability
Project management à la SRE: How to juggle the needs of your project and production Read More »
September was a whirlwind of innovation for Google Cloud databases. From groundbreaking announcements to product updates and inspiring customer stories, we’ve got it all. So grab your favorite fall beverage and let’s dive into the latest from Google Cloud databases. Key announcements Oracle Database is now generally available on Google Cloud. Customers can now run
Google Cloud database news roundup, September 2024 edition Read More »
Artificial intelligence (AI) has given organizations brand new ways to represent data so that it can be analyzed and understood at scale. AI models are trained to interpret the semantic meaning of words and other data by encoding them as vector embeddings. These embeddings represent the relative position in the vector space of the data
BigQuery vector search now GA, setting the stage for a new class of AI-powered analytics Read More »
We chat with Deedy Das, a Principal at Menlo Ventures, who began his career as a software engineer at Facebook and Google. He then dipped a toe in the startup world, spending time at the company now know as Glean. More recently he started a career as a venture capitalist, investing in AI and Infra
Deedy Das: from coding at Meta, to search at Google, to investing with Anthropic Read More »
Software as a Service (SaaS) applications offer a transformative solution for businesses worldwide, delivering on-demand software solutions to a global audience. However, building a successful SaaS platform demands on meticulous architectural planning, especially given the inherent challenges of multi-tenancy. It’s also essential to ensure that each tenant’s data remains isolated and protected from unauthorized access
Let’s Architect! Building multi-tenant SaaS systems Read More »
Prompt design and engineering stands out as one of the most approachable methods to drive meaningful output from a Large Language Model (LLM). However, prompting large language models can feel like navigating a complex maze. You must experiment with various combinations of instructions and examples to achieve the desired output. Moreover, even if you find
Announcing Public Preview of Vertex AI Prompt Optimizer Read More »
Prompt design and engineering stands out as one of the most approachable methods to drive meaningful output from a Large Language Model (LLM). However, prompting large language models can feel like navigating a complex maze. You must experiment with various combinations of instructions and examples to achieve the desired output. Moreover, even if you find
Announcing Public Preview of Vertex AI Prompt Optimizer Read More »
Masked self-attention is the key building block that allows LLMs to learn rich relationships and patterns between the words of a sentence. Let’s build it together from scratch.
Masked self-attention: How LLMs learn relationships between tokens Read More »
