Machine learning unlocks secrets to advanced alloys
An MIT team uses computer models to measure atomic patterns in metals, essential for designing custom materials for use in aerospace, biomedicine, electronics, and more.
July 2024
Intelligent document processing using Amazon Bedrock and Anthropic Claude
In this post, we show how to develop an IDP solution using Anthropic Claude 3 Sonnet on Amazon Bedrock. We demonstrate how to extract data from a scanned document and…
Metadata filtering for tabular data with Knowledge Bases for Amazon Bedrock
Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading artificial intelligence (AI) companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI,…
Secure AccountantAI Chatbot: Lili’s journey with Amazon Bedrock
This post was written in collaboration with Liran Zelkha and Eyal Solnik from Lili. Small business proprietors tend to prioritize the operational aspects of their enterprises over administrative tasks, such…
Creating and verifying stable AI-controlled systems in a rigorous and flexible way
Neural network controllers provide complex robots with stability guarantees, paving the way for the safer deployment of autonomous vehicles and industrial machines.
Human vs AI Game
This book is a must-read for anyone interested in understanding the impact of the internet, artificial intelligence, and the Internet of Things on our daily lives. In a world where…
AI method radically speeds predictions of materials’ thermal properties
The approach could help engineers design more efficient energy-conversion systems and faster microelectronic devices, reducing waste heat.
Accelerate your generative AI distributed training workloads with the NVIDIA NeMo Framework on Amazon EKS
In today’s rapidly evolving landscape of artificial intelligence (AI), training large language models (LLMs) poses significant challenges. These models often require enormous computational resources and sophisticated infrastructure to handle the…
How to assess a general-purpose AI model’s reliability before it’s deployed
A new technique enables users to compare several large models and choose the one that works best for their task.