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 »
As the number of applications and services hosted on Google Kubernetes Engine (GKE) continues to grow, so does the demand for private IPv4 addresses (RFC 1918). For many large organizations, the RFC1918 address space is becoming increasingly scarce, leading to IP address exhaustion challenges that impact their application scale. IPv6 solves this exact address exhaustion
Leveraging Class E IPv4 Address space to mitigate IPv4 exhaustion issues in GKE Read More »
With the addition of vector search earlier this year, Memorystore for Redis emerged as an ideal platform for gen AI use cases such as Retrieval Augmented Generation (RAG), recommendation systems, semantic search, and more. Why? Because of its ultra-low latency vector search. Just a single Memorystore for Redis instance can perform vector search at single-digit
Security information and event management (SIEM) systems are the backbone of most security operations centers and security teams rely on them for effective threat detection, investigation, and response. We’re thrilled to share that Google has been named a Leader in the IDC MarketScape: Worldwide SIEM for Enterprise 2024 Vendor Assessment. We believe this recognition is
Today’s business intelligence (BI) landscape is evolving rapidly, as users gain ever more value from their unique datasets with powerful, generative AI-driven data analysis tools. To help accelerate this transformation, and help you create and collaborate across your organization with intuitive AI-driven insights, we are bringing to market two key capabilities of Gemini in Looker
AI-powered visualization and LookML assistants debut for Gemini in Looker Read More »
In today’s fast-paced digital landscape, organizations are constantly seeking ways to enhance productivity, foster collaboration, and drive innovation. Google offers a comprehensive set of products that empower businesses to do just that. Gemini, the AI assistant from Google, is designed to help you get more done, with greater confidence and in less time. We’re enabling
Redefining work with Gemini, from the browser to the device Read More »
In today’s data-driven environments, Google Workspace can act as the foundation of your business, serving as the communication and collaboration hub that powers your employees’ productivity. Further, Google Workspace customers can benefit from having a comprehensive and in-depth understanding of their digital workplace usage, collaboration patterns, and security posture. To help, we are bringing the
Empower data-driven insights with new Google Workspace Analytics Block for Looker Read More »
In July, we announced the addition of Meta’s Llama 3.1 open models to Vertex AI Model Garden. Since then, developers and enterprises have shown tremendous enthusiasm for building with the Llama models. Today, we’re announcing that Llama 3.2, Meta’s new generation of multimodal models, is available on Vertex AI Model Garden. Llama 3.2 is a
Meta’s Llama 3.2 is now available on Google Cloud Read More »
