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.
Reinforcement Learning for Long-Horizon Interactive LLM Agents
Interactive digital agents (IDAs) leverage APIs of stateful digital environments to perform tasks in response to user requests. While IDAs powered by instruction-tuned large language models (LLMs) can react to feedback from interface invocations in multi-step exchanges, they have not been trained in their respective digital environments. Prior methods accomplish less than half of tasks …
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Trellix lowers cost, increases speed, and adds delivery flexibility with cost-effective and performant Amazon Nova Micro and Amazon Nova Lite models
This post is co-written with Martin Holste from Trellix. Security teams are dealing with an evolving universe of cybersecurity threats. These threats are expanding in form factor, sophistication, and the attack surface they target. Constrained by talent and budget limitations, teams are often forced to prioritize the events pursued for investigation, limiting the ability to …
Designing sustainable AI: A deep dive into TPU efficiency and lifecycle emissions
As AI continues to unlock new opportunities for business growth and societal benefits, we’re working to reduce the carbon intensity of AI systems — including by optimizing software, improving hardware efficiency, and powering AI models with carbon-free energy. Today we’re releasing a first-of-its-kind study1 on the lifetime emissions of our Tensor Processing Unit (TPU) hardware. …
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Updating the Frontier Safety Framework
Our next iteration of the FSF sets out stronger security protocols on the path to AGI
Adaptive Training Distributions with Scalable Online Bilevel Optimization
Large neural networks pretrained on web-scale corpora are central to modern machine learning. In this paradigm, the distribution of the large, heterogeneous pretraining data rarely matches that of the application domain. This work considers modifying the pretraining distribution in the case where one has a small sample of data reflecting the targeted test conditions. We …
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Orchestrate seamless business systems integrations using Amazon Bedrock Agents
Generative AI has revolutionized technology through generating content and solving complex problems. To fully take advantage of this potential, seamless integration with existing business systems and efficient access to data are crucial. Amazon Bedrock Agents provides the integration capabilities to connect generative AI models with the wealth of information and workflows already in place within …
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Helping our partners co-market faster with AI
At Google Cloud, we’re deeply invested in making AI helpful to organizations everywhere — not just for our valued customers, but for our equally important partners. Today, we’re thrilled to introduce a significant leap forward in how we enable our partners to co-market with us: Gemini-powered content creation within Partner Marketing Studio. These AI features …
Accelerate video Q&A workflows using Amazon Bedrock Knowledge Bases, Amazon Transcribe, and thoughtful UX design
Organizations are often inundated with video and audio content that contains valuable insights. However, extracting those insights efficiently and with high accuracy remains a challenge. This post explores an innovative solution to accelerate video and audio review workflows through a thoughtfully designed user experience that enables human and AI collaboration. By approaching the problem from …
Step-by-Step Reasoning for Math Problems via Twisted Sequential Monte Carlo
Augmenting the multi-step reasoning abilities of Large Language Models (LLMs) has been a persistent challenge. Recently, verification has shown promise in improving solution consistency by evaluating generated outputs. However, current verification approaches suffer from sampling inefficiencies, requiring a large number of samples to achieve satisfactory performance. Additionally, training an effective verifier often depends on extensive …
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