AWS Machine Learning Blog

FEBRUARY 26, 2024

Large Language Models (LLMs) have revolutionized the field of natural language processing (NLP), improving tasks such as language translation, text summarization, and sentiment analysis. Through AWS Step Functions orchestration, the function calls Amazon Comprehend to detect the sentiment and toxicity.

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AWS Machine Learning Blog

NOVEMBER 15, 2024

With the QnABot on AWS (QnABot), integrated with Microsoft Azure Entra ID access controls, Principal launched an intelligent self-service solution rooted in generative AI. Principal sought to develop natural language processing (NLP) and question-answering capabilities to accurately query and summarize this unstructured data at scale.

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AWS Machine Learning Blog

JANUARY 24, 2024

Generative AI solutions have the potential to transform businesses by boosting productivity and improving customer experiences, and using large language models (LLMs) with these solutions has become increasingly popular. Where is the data processed? Who has access to the data?

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IBM Journey to AI blog

SEPTEMBER 19, 2024

Generative AI innovations can transform industries. Eight client teams collaborated with IBM® and AWS this spring to develop generative AI prototypes to address real-world business challenges in the public sector, financial services, energy, healthcare and other industries.

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AWS Machine Learning Blog

JULY 2, 2024

AWS optimized the PyTorch torch.compile feature for AWS Graviton3 processors. the optimizations are available in torch Python wheels and AWS Graviton PyTorch deep learning container (DLC). The goal for the AWS Graviton team was to optimize torch.compile backend for Graviton3 processors. Starting with PyTorch 2.3.1,

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AWS Machine Learning Blog

NOVEMBER 22, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

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AWS Machine Learning Blog

JUNE 11, 2024

Each of these products are infused with artificial intelligence (AI) capabilities to deliver exceptional customer experience. Sprinklr’s specialized AI models streamline data processing, gather valuable insights, and enable workflows and analytics at scale to drive better decision-making and productivity.

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AWS Machine Learning Blog

SEPTEMBER 24, 2024

The rise of generative artificial intelligence (AI) has brought an inflection of foundation models (FMs). Goldman Sachs estimated that generative AI could automate 44% of legal tasks in the US. AWS AI and machine learning (ML) services help address these concerns within the industry.

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Data Science Dojo

SEPTEMBER 30, 2024

AI code generator tools are stepping in, offering a new way to approach software development. Whether you’re new to coding or a seasoned pro, AI is changing the game, making development faster, smarter, and more accessible. What is AI Code Generation? How Do AI Code Generator Tools Work?

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AWS Machine Learning Blog

SEPTEMBER 28, 2023

In either case, as knowledge management becomes more complex, generative AI presents a game-changing opportunity for enterprises to connect people to the information they need to perform and innovate. To help tackle this challenge, Accenture collaborated with AWS to build an innovative generative AI solution called Knowledge Assist.

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AWS Machine Learning Blog

JUNE 26, 2024

Artificial intelligence and machine learning (AI/ML) technologies can assist capital market organizations overcome these challenges. Intelligent document processing (IDP) applies AI/ML techniques to automate data extraction from documents. These applications come with the drawback of being inflexible and high-maintenance.

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AWS Machine Learning Blog

OCTOBER 5, 2023

In this post, we walk through how to fine-tune Llama 2 on AWS Trainium , a purpose-built accelerator for LLM training, to reduce training times and costs. We review the fine-tuning scripts provided by the AWS Neuron SDK (using NeMo Megatron-LM), the various configurations we used, and the throughput results we saw.

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AWS Machine Learning Blog

MARCH 12, 2024

In this post, we discuss how Leidos worked with AWS to develop an approach to privacy-preserving large language model (LLM) inference using AWS Nitro Enclaves. LLMs are designed to understand and generate human-like language, and are used in many industries, including government, healthcare, financial, and intellectual property.

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Towards AI

AUGUST 6, 2024

Author(s): Youssef Hosni Originally published on Towards AI. Master LLMs & Generative AI Through These Five Books This article reviews five key books that explore the rapidly evolving fields of large language models (LLMs) and generative AI, providing essential insights into these transformative technologies.

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AWS Machine Learning Blog

MAY 1, 2024

Large language models (LLMs) are making a significant impact in the realm of artificial intelligence (AI). Llama2 by Meta is an example of an LLM offered by AWS. Llama 2 is an auto-regressive language model that uses an optimized transformer architecture and is intended for commercial and research use in English.

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Flipboard

FEBRUARY 11, 2025

In this new era of emerging AI technologies, we have the opportunity to build AI-powered assistants tailored to specific business requirements. For complex customer issues, the process was especially time-consuming, laborious, and at times extended the wait time for customers seeking resolutions.

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AWS Machine Learning Blog

SEPTEMBER 19, 2023

Multi-modal agents are AI systems that can understand and analyze data in multiple modalities using the right tools in their toolkit. Multi-modal agents, in conjunction with generative AI, are finding a wide spread application in financial markets. Detecting fraudulent collusion across data types requires multi-modal analysis.

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Dataconomy

JUNE 16, 2023

Gamma AI is a great tool for those who are looking for an AI-powered cloud Data Loss Prevention (DLP) tool to protect Software-as-a-Service (SaaS) applications. DLP solutions help organizations comply with data privacy regulations, such as GDPR, HIPAA, PCI DSS, and others ( Image Credit ) What is Gamma AI? How does it work?

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AWS Machine Learning Blog

AUGUST 5, 2024

In recent years, we have seen a big increase in the size of large language models (LLMs) used to solve natural language processing (NLP) tasks such as question answering and text summarization. For example, on AWS Trainium , Llama-3-70B has a median per-token latency of 21.4 compared to 76.4).

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AWS Machine Learning Blog

AUGUST 28, 2024

This post demonstrates how to seamlessly automate the deployment of an end-to-end RAG solution using Knowledge Bases for Amazon Bedrock and the AWS Cloud Development Kit (AWS CDK), enabling organizations to quickly set up a powerful question answering system. The AWS CDK already set up. txt,md,html,doc/docx,csv,xls/.xlsx,pdf).

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Flipboard

JUNE 20, 2023

There are several ways AWS is enabling ML practitioners to lower the environmental impact of their workloads. One way is through providing prescriptive guidance around architecting your AI/ML workloads for sustainability. Performance, Cost and Energy Efficiency Results of Inference Benchmarks AWS Inferentia delivers 6.3

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AWS Machine Learning Blog

MAY 4, 2023

The world of artificial intelligence (AI) and machine learning (ML) has been witnessing a paradigm shift with the rise of generative AI models that can create human-like text, images, code, and audio. Compared to classical ML models, generative AI models are significantly bigger and more complex.

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AWS Machine Learning Blog

AUGUST 30, 2023

It enables translation of reports into human readable language, thereby alleviating the patients’ burden of reading through lengthy and obscure reports. To solve this problem, we propose the use of generative AI, a type of AI that can create new content and ideas, including conversations, stories, images, videos, and music.

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AWS Machine Learning Blog

JUNE 13, 2023

The size of the machine learning (ML) models––large language models ( LLMs ) and foundation models ( FMs )–– is growing fast year-over-year , and these models need faster and more powerful accelerators, especially for generative AI. With AWS Inferentia1, customers saw up to 2.3x With AWS Inferentia1, customers saw up to 2.3x

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AWS Machine Learning Blog

MAY 10, 2023

In this post, we focus on how you can take advantage of the AWS Graviton3 -based Amazon Elastic Compute Cloud (EC2) C7g instances to help reduce inference costs by up to 50% relative to comparable EC2 instances for real-time inference on Amazon SageMaker. 4xlarge (AWS Graviton3) is about 50% of the c5.4xlarge and 40% of c6i.4xlarge;

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AWS Machine Learning Blog

MAY 31, 2024

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 you how you can pre-train a genomics language model, HyenaDNA , using your genomic data in the AWS Cloud.

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AWS Machine Learning Blog

NOVEMBER 15, 2023

They are processing data across channels, including recorded contact center interactions, emails, chat and other digital channels. Solution requirements Principal provides investment services through Genesys Cloud CX, a cloud-based contact center that provides powerful, native integrations with AWS.

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AWS Machine Learning Blog

DECEMBER 23, 2024

Customers need better accuracy to take generative AI applications into production. To address this, customers often begin by enhancing generative AI accuracy through vector-based retrieval systems and the Retrieval Augmented Generation (RAG) architectural pattern, which integrates dense embeddings to ground AI outputs in relevant context.

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AWS Machine Learning Blog

OCTOBER 31, 2024

Amazon SageMaker Ground Truth enables the creation of high-quality, large-scale training datasets, essential for fine-tuning across a wide range of applications, including large language models (LLMs) and generative AI. This feature is currently available in all AWS Regions that support SageMaker Ground Truth.

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AWS Machine Learning Blog

DECEMBER 5, 2024

As generative AI continues to drive innovation across industries and our daily lives, the need for responsible AI has become increasingly important. At AWS, we believe the long-term success of AI depends on the ability to inspire trust among users, customers, and society.

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AWS Machine Learning Blog

MARCH 22, 2024

Today, jointly with Contentful, we are announcing the launch of the AI Content Generator powered by Amazon Bedrock. Contentful is an AWS customer and partner. This is a task that the AI Content Generator powered by Amazon Bedrock can now do automatically: First, open an existing content entry.

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AWS Machine Learning Blog

OCTOBER 29, 2024

Recently, we’ve been witnessing the rapid development and evolution of generative AI applications, with observability and evaluation emerging as critical aspects for developers, data scientists, and stakeholders. In the context of Amazon Bedrock , observability and evaluation become even more crucial.

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AWS Machine Learning Blog

OCTOBER 15, 2024

Now, with the advent of large language models (LLMs), you can use generative AI -powered virtual assistants to provide real-time analysis of speech, identification of areas for improvement, and suggestions for enhancing speech delivery. The generative AI capabilities of Amazon Bedrock efficiently process user speech inputs.

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AWS Machine Learning Blog

APRIL 24, 2024

Conversational artificial intelligence (AI) assistants are engineered to provide precise, real-time responses through intelligent routing of queries to the most suitable AI functions. With AWS generative AI services like Amazon Bedrock , developers can create systems that expertly manage and respond to user requests.

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AWS Machine Learning Blog

JUNE 21, 2024

To accomplish this, eSentire built AI Investigator, a natural language query tool for their customers to access security platform data by using AWS generative artificial intelligence (AI) capabilities. This helps customers quickly and seamlessly explore their security data and accelerate internal investigations.

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AWS Machine Learning Blog

NOVEMBER 27, 2023

Amazon Elastic Compute Cloud (Amazon EC2) accelerated computing portfolio offers the broadest choice of accelerators to power your artificial intelligence (AI), machine learning (ML), graphics, and high performance computing (HPC) workloads. times larger and 1.4 times faster than H100 GPUs. times larger and 1.4 times faster than H100 GPUs.

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AWS Machine Learning Blog

AUGUST 28, 2023

As part of the 2023 Data Science Conference (DSCO 23), AWS partnered with the Data Institute at the University of San Francisco (USF) to conduct a datathon. AI is becoming increasingly important in the workplace, and 82% of companies need employees with machine learning skills. This is the first year we used SageMaker Studio Lab.

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