ai/ml

Build an AI-powered document processing platform with open source NER model and LLM on Amazon SageMaker

Archival data in research institutions and national laboratories represents a vast repository of historical knowledge, yet much of it remains…

1 year ago

Going from requirements to prototype with Gemini Code Assist

Imagine this common scenario: you have a detailed product requirements document for your next project. Instead of reading the whole…

1 year ago

Supercharge your LLM performance with Amazon SageMaker Large Model Inference container v15

Today, we’re excited to announce the launch of Amazon SageMaker Large Model Inference (LMI) container v15, powered by vLLM 0.8.4…

1 year ago

Google Cloud Database and LangChain integrations now support Go, Java, and JavaScript

Last year, Google Cloud and LangChain announced integrations that give generative AI developers access to a suite of LangChain Python…

1 year ago

Apple Machine Learning Research at ICLR 2025

Apple researchers are advancing machine learning (ML) and AI through fundamental research that improves the world’s understanding of this technology…

1 year ago

Amazon Bedrock Prompt Optimization Drives LLM Applications Innovation for Yuewen Group

Yuewen Group is a global leader in online literature and IP operations. Through its overseas platform WebNovel, it has attracted…

1 year ago

FastVLM: Efficient Vision encoding for Vision Language Models

Scaling the input image resolution is essential for enhancing the performance of Vision Language Models (VLMs), particularly in text-rich image…

1 year ago

Build a FinOps agent using Amazon Bedrock with multi-agent capability and Amazon Nova as the foundation model

AI agents are revolutionizing how businesses enhance their operational capabilities and enterprise applications. By enabling natural language interactions, these agents…

1 year ago

Introducing Gemini 2.5 Flash

Gemini 2.5 Flash is our first fully hybrid reasoning model, giving developers the ability to turn thinking on or off.

1 year ago

Disentangled Representational Learning with the Gromov-Monge Gap

Learning disentangled representations from unlabelled data is a fundamental challenge in machine learning. Solving it may unlock other problems, such…

1 year ago