ai/ml

A Better Conversation (Palantir CSE #1)

Building an AI solution for human problemsEditor’s Note: This is the first in a three-part blog series about Palantir’s AI-enabled Customer…

1 year ago

Create your fashion assistant application using Amazon Titan models and Amazon Bedrock Agents

In the generative AI era, agents that simulate human actions and behaviors are emerging as a powerful tool for enterprises…

1 year ago

Parallelstore is now GA, fueling the next generation of AI and HPC workloads

Organizations use artificial intelligence (AI) and high-performance computing (HPC) applications to process massive datasets, run complex simulations, and train generative…

1 year ago

How Aviva built a scalable, secure, and reliable MLOps platform using Amazon SageMaker

This post is co-written with Dean Steel and Simon Gatie from Aviva. With a presence in 16 countries and serving…

1 year ago

Revolutionizing Edge AI

Palantir and Edgescale AI Join ForcesThis post contains forward-looking statements within the meaning of Section 27A of the Securities Act of…

1 year ago

How Schneider Electric uses Amazon Bedrock to identify high-potential business opportunities

This post was co-written with Anthony Medeiros, Manager of Solutions Engineering and Architecture for North America Artificial Intelligence, and Adrian…

1 year ago

Enhancing your gen AI use case with Vertex AI embeddings and task types

Retrieval Augmented Generation (RAG) is a powerful technique for enhancing large language models (LLMs) by grounding them in external knowledge…

1 year ago

AWS recognized as a first-time Leader in the 2024 Gartner Magic Quadrant for Data Science and Machine Learning Platforms

Over the last 18 months, AWS has announced more than twice as many machine learning (ML) and generative artificial intelligence…

1 year ago

Understand your Cloud Storage footprint with AI-powered queries and insights

Google Cloud Storage is at the core of many customers’ cloud deployment because of its simplicity, affordability and near-infinite scale.…

1 year ago

Generalizable Error Modeling for Human Data Annotation: Evidence from an Industry-Scale Search Data Annotation Program

Machine learning (ML) and artificial intelligence (AI) systems rely heavily on human-annotated data for training and evaluation. A major challenge…

1 year ago