AI

Amazon SageMaker Studio provides a single web-based visual interface where different personas like data scientists, machine learning (ML) engineers, and developers can build, train, debug, deploy, and monitor their ML models. These personas rely on access to data in Amazon Simple Storage Service (Amazon S3) for tasks such as extracting data for model training, logging […]

AI takes a lot of energy to run, but underwater data centers might not be the answer.

The Pager Protocol podcast went up hours after exploding pagers and two-way radios killed dozens and injured hundreds in Lebanon last week. How did it do it? Lots of artificial intelligence tools.

Deep-learning models are being used in many fields, from health care diagnostics to financial forecasting. However, these models are so computationally intensive that they require the use of powerful cloud-based servers. This reliance on cloud computing poses significant security risks, particularly in areas like health care, where hospitals may be hesitant to use AI tools

The Employee Productivity GenAI Assistant Example is a practical AI-powered solution designed to streamline writing tasks, allowing teams to focus on creativity rather than repetitive content creation. Built on AWS technologies like AWS Lambda, Amazon API Gateway, and Amazon DynamoDB, this tool automates the creation of customizable templates and supports both text and image inputs.

In today’s digital age, social media has revolutionized the way brands interact with their consumers, creating a need for dynamic and engaging content that resonates with their target audience. There’s growing competition for consumer attention in this space; content creators and influencers face constant challenges to produce new, engaging, and brand-consistent content. The challenges come

In the realm of generative artificial intelligence (AI), Retrieval Augmented Generation (RAG) has emerged as a powerful technique, enabling foundation models (FMs) to use external knowledge sources for enhanced text generation. Amazon Bedrock is a fully managed service that offers a choice of high-performing FMs from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta,

In a letter to the OpenAI team posted on X, Murati wrote that “this moment feels right” to step down.

Today, we are excited to announce the availability of Llama 3.2 models in Amazon SageMaker JumpStart. Llama 3.2 offers multi-modal vision and lightweight models representing Meta’s latest advancement in large language models (LLMs), providing enhanced capabilities and broader applicability across various use cases. With a focus on responsible innovation and system-level safety, these new models

Today, we are excited to announce the availability of Llama 3.2 in Amazon SageMaker JumpStart and Amazon Bedrock. The Llama 3.2 models are a collection of state-of-the-art pre-trained and instruct fine-tuned generative AI models that come in various sizes—in lightweight text-only 1B and 3B parameter models suitable for edge devices, to small and medium-sized 11B