ai/ml

Transforming credit decisions using generative AI with Rich Data Co and AWS

This post is co-written with Gordon Campbell, Charles Guan, and Hendra Suryanto from RDC.  The mission of Rich Data Co…

1 year ago

Networking support for AI workloads

At Google Cloud, we strive to make it easy to deploy AI models onto our infrastructure. In this blog we…

1 year ago

AI-Designed Proteins Take on Deadly Snake Venom

Every year, venomous snakes kill over 100,000 people and leave 300,000 more with devastating injuries — amputations, paralysis and permanent…

1 year ago

Cut Your Losses in Large-Vocabulary Language Models

As language models grow ever larger, so do their vocabularies. This has shifted the memory footprint of LLMs during training…

1 year ago

Requirements for AI in Production in Insurance Underwriting

IntroductionLarge language models present both massive opportunities and significant complexities for the insurance industry. Insurers can use AI to increase…

1 year ago

Governing the ML lifecycle at scale, Part 4: Scaling MLOps with security and governance controls

Data science teams often face challenges when transitioning models from the development environment to production. These include difficulties integrating data…

1 year ago

News you can use: What we announced in AI this month

2025 is off to a racing start. From announcing strides in the new Gemini 2.0 model family to retailers accelerating…

1 year ago

Protect your DeepSeek model deployments with Amazon Bedrock Guardrails

The rapid advancement of generative AI has brought powerful publicly available large language models (LLMs), such as DeepSeek-R1, to the…

1 year ago

Announcing public beta of Gen AI Toolbox for Databases

Today, we are thrilled to announce the public beta launch of Gen AI Toolbox for Databases in partnership with LangChain,…

1 year ago

Gemini 2.0 is now available to everyone

We’re announcing new updates to Gemini 2.0 Flash, plus introducing Gemini 2.0 Flash-Lite and Gemini 2.0 Pro Experimental.

1 year ago