ai/ml - Robotic Content

How IDIADA optimized its intelligent chatbot with Amazon Bedrock

by AI Generated Robotic ContentFAANG February 26, 2025Comments are Disabled

This post is co-written with Xavier Vizcaino, Diego Martín Montoro, and Jordi Sánchez Ferrer from Applus+ Idiada. In 2021, Applus+ IDIADA, a global partner to the automotive industry with over 30 years of experience supporting customers in product development activities through design, engineering, testing, and homologation services, established the Digital Solutions department. This strategic move …

Enhancing AlloyDB vector search with inline filtering and enterprise observability

by AI Generated Robotic ContentFAANG February 26, 2025Comments are Disabled

Many specialized vector databases today require you to create complex pipelines and applications in order to get the data you need. AlloyDB for PostgreSQL offers Google Research’s, state-of-the-art vector search index, ScaNN, enabling you to optimize the end-to-end retrieval of the most fresh, relevant data with a single SQL statement. Today, we are introducing a …

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

by AI Generated Robotic ContentFAANG February 25, 2025Comments are Disabled

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 latency text generation tasks—is available for customers through Amazon SageMaker JumpStart and Amazon Bedrock Marketplace. Amazon Bedrock Marketplace is a new capability in Amazon Bedrock that developers can use to discover, test, and use over 100 …

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

by AI Generated Robotic ContentFAANG February 25, 2025Comments are Disabled

Today, we’re announcing Claude 3.7 Sonnet, Anthropic’s most intelligent model to date and the first hybrid reasoning model on the market, is available in preview on Vertex AI Model Garden. Claude 3.7 Sonnet can produce quick responses or extended, step-by-step thinking that is made visible to the user. Claude 3.7 Sonnet includes improvements in coding, …

Everyone Has Given Up on AI Safety, Now What?

by AI Generated Robotic ContentFAANG February 23, 2025Comments are Disabled

The End of the AI Safety Debate For years, a passionate contingent of researchers, ethicists, and policymakers warned about the potential dangers of unchecked artificial intelligence development. They argued about p(doom) probabilities, AI alignment strategies, and regulations that could prevent catastrophe. But as of now, that conversation has all but collapsed. The frontier AI companies—OpenAI, …

PR Agencies in the Age of AI

by AI Generated Robotic ContentFAANG February 22, 2025Comments are Disabled

TL;DR We compared Grok 3 and o3-mini’s results on this topic. They both passed. Since Grok 3 was released we thought it would be interesting to compare Grok 3 and o3-mini’s responses to a prompt about PR agencies in the age of AI. This is what we asked: With AI becoming such a driving force …

How Rocket Companies modernized their data science solution on AWS

by AI Generated Robotic ContentFAANG February 22, 2025Comments are Disabled

This post was written with Dian Xu and Joel Hawkins of Rocket Companies. Rocket Companies is a Detroit-based FinTech company with a mission to “Help Everyone Home”. With the current housing shortage and affordability concerns, Rocket simplifies the homeownership process through an intuitive and AI-driven experience. This comprehensive framework streamlines every step of the homeownership …

Optimizing image generation pipelines on Google Cloud: A practical guide

by AI Generated Robotic ContentFAANG February 22, 2025Comments are Disabled

Generative AI diffusion models such as Stable Diffusion and Flux produce stunning visuals, empowering creators across various verticals with impressive image generation capabilities. However, generating high-quality images through sophisticated pipelines can be computationally demanding, even with powerful hardware like GPUs and TPUs, impacting both costs and time-to-result. The key challenge lies in optimizing the entire …

Evaluating Sample Utility for Data Selection by Mimicking Model Weights

by AI Generated Robotic ContentFAANG February 21, 2025Comments are Disabled

Foundation models are trained on large-scale web-crawled datasets, which often contain noise, biases, and irrelevant information. This motivates the use of data selection techniques, which can be divided into model-free variants — relying on heuristic rules and downstream datasets — and model-based, e.g., using influence functions. The former can be expensive to design and risk …

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

by AI Generated Robotic ContentFAANG February 21, 2025Comments are Disabled

Data is the lifeblood of modern applications, driving everything from application testing to machine learning (ML) model training and evaluation. As data demands continue to surge, the emergence of generative AI models presents an innovative solution. These large language models (LLMs), trained on expansive data corpora, possess the remarkable capability to generate new content across …