AWS Machine Learning Blog
Category: Amazon Bedrock
Intuit uses Amazon Bedrock and Anthropic’s Claude to explain taxes in TurboTax to millions of consumer tax filers
Intuit is committed to providing its customers innovative solutions that simplify complex financial processes. Tax filing can be a challenge, with its ever-changing regulations and intricate nuances. That’s why the company empowers millions of individuals and small businesses to comprehend tax-related information effortlessly and file with full confidence that their taxes are done right. For the […]
Build generative AI–powered Salesforce applications with Amazon Bedrock
In this post, we show how native integrations between Salesforce and Amazon Web Services (AWS) enable you to Bring Your Own Large Language Models (BYO LLMs) from your AWS account to power generative artificial intelligence (AI) applications in Salesforce. Requests and responses between Salesforce and Amazon Bedrock pass through the Einstein Trust Layer, which promotes responsible AI use across Salesforce.
Evaluate conversational AI agents with Amazon Bedrock
As conversational artificial intelligence (AI) agents gain traction across industries, providing reliability and consistency is crucial for delivering seamless and trustworthy user experiences. However, the dynamic and conversational nature of these interactions makes traditional testing and evaluation methods challenging. Conversational AI agents also encompass multiple layers, from Retrieval Augmented Generation (RAG) to function-calling mechanisms that […]
Mistral Large 2 is now available in Amazon Bedrock
Mistral AI’s Mistral Large 2 (24.07) foundation model (FM) is now generally available in Amazon Bedrock. Mistral Large 2 is the newest version of Mistral Large, and according to Mistral AI offers significant improvements across multilingual capabilities, math, reasoning, coding, and much more. In this post, we discuss the benefits and capabilities of this new […]
Use Llama 3.1 405B for synthetic data generation and distillation to fine-tune smaller models
Today, we are excited to announce the availability of the Llama 3.1 405B model on Amazon SageMaker JumpStart, and Amazon Bedrock in preview. The Llama 3.1 models are a collection of state-of-the-art pre-trained and instruct fine-tuned generative artificial intelligence (AI) models in 8B, 70B, and 405B sizes. Amazon SageMaker JumpStart is a machine learning (ML) hub that provides access to algorithms, models, and ML solutions so you can quickly get started with ML. Amazon Bedrock offers a straightforward way to build and scale generative AI applications with Meta Llama models, using a single API.
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 insert it into a database.
Metadata filtering for tabular data with Amazon Bedrock Knowledge Bases
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, Stability AI, and Amazon through a single API. To equip FMs with up-to-date and proprietary information, organizations use Retrieval Augmented Generation (RAG), a technique that […]
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 as maintaining financial records and accounting. While hiring a professional accountant can provide valuable guidance and expertise, it can be cost-prohibitive for many small businesses. […]
How Mend.io unlocked hidden patterns in CVE data with Anthropic Claude on Amazon Bedrock
This post is co-written with Maciej Mensfeld from Mend.io. In the ever-evolving landscape of cybersecurity, the ability to effectively analyze and categorize Common Vulnerabilities and Exposures (CVEs) is crucial. This post explores how Mend.io, a cybersecurity firm, used Anthropic Claude on Amazon Bedrock to classify and identify CVEs containing specific attack requirements details. By using […]
Video auto-dubbing using Amazon Translate, Amazon Bedrock, and Amazon Polly
This post is co-written with MagellanTV and Mission Cloud. Video dubbing, or content localization, is the process of replacing the original spoken language in a video with another language while synchronizing audio and video. Video dubbing has emerged as a key tool in breaking down linguistic barriers, enhancing viewer engagement, and expanding market reach. However, […]