ai/ml

How IDIADA optimized its intelligent chatbot with Amazon Bedrock

This post is co-written with Xavier Vizcaino, Diego Martín Montoro, and Jordi Sánchez Ferrer from Applus+ Idiada. In 2021, Applus+…

12 months ago

Enhancing AlloyDB vector search with inline filtering and enterprise observability

Many specialized vector databases today require you to create complex pipelines and applications in order to get the data you…

12 months ago

Mistral-Small-24B-Instruct-2501 is now available on SageMaker Jumpstart and Amazon Bedrock Marketplace

Today, we’re excited to announce that Mistral-Small-24B-Instruct-2501—a twenty-four billion parameter large language model (LLM) from Mistral AI that’s optimized for low…

12 months ago

Announcing Claude 3.7 Sonnet, Anthropic’s first hybrid reasoning model, is available on Vertex AI

Today, we’re announcing Claude 3.7 Sonnet, Anthropic’s most intelligent model to date and the first hybrid reasoning model on the…

12 months ago

Everyone Has Given Up on AI Safety, Now What?

The End of the AI Safety DebateFor years, a passionate contingent of researchers, ethicists, and policymakers warned about the potential…

12 months ago

PR Agencies in the Age of AI

TL;DR We compared Grok 3 and o3-mini’s results on this topic. They both passed. Since Grok 3 was released we…

12 months ago

How Rocket Companies modernized their data science solution on AWS

This post was written with Dian Xu and Joel Hawkins of Rocket Companies. Rocket Companies is a Detroit-based FinTech company…

12 months ago

Optimizing image generation pipelines on Google Cloud: A practical guide

Generative AI diffusion models such as Stable Diffusion and Flux produce stunning visuals, empowering creators across various verticals with impressive…

12 months ago

Evaluating Sample Utility for Data Selection by Mimicking Model Weights

Foundation models are trained on large-scale web-crawled datasets, which often contain noise, biases, and irrelevant information. This motivates the use…

12 months ago

Generate synthetic counterparty (CR) risk data with generative AI using Amazon Bedrock LLMs and RAG

Data is the lifeblood of modern applications, driving everything from application testing to machine learning (ML) model training and evaluation.…

12 months ago