AWS Machine Learning Blog

Category: Generative AI

Import a fine-tuned Meta Llama 3 model for SQL query generation on Amazon Bedrock

In this post, we demonstrate the process of fine-tuning Meta Llama 3 8B on SageMaker to specialize it in the generation of SQL queries (text-to-SQL). Meta Llama 3 8B is a relatively small model that offers a balance between performance and resource efficiency. AWS customers have explored fine-tuning Meta Llama 3 8B for the generation of SQL queries—especially when using non-standard SQL dialects—and have requested methods to import their customized models into Amazon Bedrock to benefit from the managed infrastructure and security that Amazon Bedrock provides when serving those models.

Unlocking Japanese LLMs with AWS Trainium: Innovators Showcase from the AWS LLM Development Support Program

Since its launch, the LLM Program has welcomed 15 diverse companies and organizations, each with a unique vision for how to use LLMs to drive progress in their respective industries. The program provides comprehensive support through guidance on securing high-performance compute infrastructure, technical assistance and troubleshooting for distributed training, cloud credits, and support for go-to-market. The program also facilitated collaborative knowledge-sharing sessions, where the leading LLM engineers came together to discuss the technical complexities and commercial considerations of their work. This holistic approach enabled participating organizations to rapidly advance their generative AI capabilities and bring transformative solutions to market. Let’s dive in and explore how these organizations are transforming what’s possible with generative AI on AWS.

Use the ApplyGuardrail API with long-context inputs and streaming outputs in Amazon Bedrock

As generative artificial intelligence (AI) applications become more prevalent, maintaining responsible AI principles becomes essential. Without proper safeguards, large language models (LLMs) can potentially generate harmful, biased, or inappropriate content, posing risks to individuals and organizations. Applying guardrails helps mitigate these risks by enforcing policies and guidelines that align with ethical principles and legal requirements. […]

Enhance your media search experience using Amazon Q Business and Amazon Transcribe

In today’s digital landscape, the demand for audio and video content is skyrocketing. Organizations are increasingly using media to engage with their audiences in innovative ways. From product documentation in video format to podcasts replacing traditional blog posts, content creators are exploring diverse channels to reach a wider audience. The rise of virtual workplaces has […]

Solution architecture

Monks boosts processing speed by four times for real-time diffusion AI image generation using Amazon SageMaker and AWS Inferentia2

This post is co-written with Benjamin Moody from Monks. Monks is the global, purely digital, unitary operating brand of S4Capital plc. With a legacy of innovation and specialized expertise, Monks combines an extraordinary range of global marketing and technology services to accelerate business possibilities and redefine how brands and businesses interact with the world. Its […]

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.

Improve the productivity of your customer support and project management teams using Amazon Q Business and Atlassian Jira

Effective customer support and project management are critical aspects of providing effective customer relationship management. Atlassian Jira, a platform for issue tracking and project management functions for software projects, has become an indispensable part of many organizations’ workflows to ensure success of the customer and the product. However, extracting valuable insights from the vast amount […]

Find answers accurately and quickly using Amazon Q Business with the SharePoint Online connector

Amazon Q Business is a fully managed, generative artificial intelligence (AI)-powered assistant that helps enterprises unlock the value of their data and knowledge. With Amazon Q, you can quickly find answers to questions, generate summaries and content, and complete tasks by using the information and expertise stored across your company’s various data sources and enterprise […]

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 […]

LLM evaluation and selection journey

LLM experimentation at scale using Amazon SageMaker Pipelines and MLflow

Large language models (LLMs) have achieved remarkable success in various natural language processing (NLP) tasks, but they may not always generalize well to specific domains or tasks. You may need to customize an LLM to adapt to your unique use case, improving its performance on your specific dataset or task. You can customize the model […]