Build custom generative AI applications powered by Amazon Bedrock
With last month’s blog, I started a series of posts that highlight the key factors that are driving customers to choose Amazon Bedrock. I explored how Bedrock enables customers to…
Amazon Machine Learning
Introducing guardrails in Knowledge Bases for Amazon Bedrock
Knowledge Bases for Amazon Bedrock is a fully managed capability that helps you securely connect foundation models (FMs) in Amazon Bedrock to your company data using Retrieval Augmented Generation (RAG).…
Manage Amazon SageMaker JumpStart foundation model access with private hubs
Amazon SageMaker JumpStart is a machine learning (ML) hub offering pre-trained models and pre-built solutions. It provides access to hundreds of foundation models (FMs). A private hub is a feature…
eSentire delivers private and secure generative AI interactions to customers with Amazon SageMaker
eSentire is an industry-leading provider of Managed Detection & Response (MDR) services protecting users, data, and applications of over 2,000 organizations globally across more than 35 industries. These security services…
Code generation using Code Llama 70B and Mixtral 8x7B on Amazon SageMaker
In the ever-evolving landscape of machine learning and artificial intelligence (AI), large language models (LLMs) have emerged as powerful tools for a wide range of natural language processing (NLP) tasks,…
Streamline custom model creation and deployment for Amazon Bedrock with Provisioned Throughput using Terraform
As customers seek to incorporate their corpus of knowledge into their generative artificial intelligence (AI) applications, or to build domain-specific models, their data science teams often want to conduct A/B…
Pre-training genomic language models using AWS HealthOmics and Amazon SageMaker
Genomic language models are a new and exciting field in the application of large language models to challenges in genomics. In this blog post and open source project, we show…
Create a multimodal assistant with advanced RAG and Amazon Bedrock
In this post, we present a new approach named multimodal RAG (mmRAG) to tackle those existing limitations in greater detail. The solution intends to address these limitations for practical generative…
AWS DeepRacer enables builders of all skill levels to upskill and get started with machine learning
In today’s technological landscape, artificial intelligence (AI) and machine learning (ML) are becoming increasingly accessible, enabling builders of all skill levels to harness their power. As more companies adopt AI…
Simple guide to training Llama 2 with AWS Trainium on Amazon SageMaker
Large language models (LLMs) are making a significant impact in the realm of artificial intelligence (AI). Their impressive generative abilities have led to widespread adoption across various sectors and use…