AWS Machine Learning - AI

DECEMBER 2, 2024

Today at AWS re:Invent 2024, we are excited to announce the new Container Caching capability in Amazon SageMaker, which significantly reduces the time required to scale generative AI models for inference. It supports a wide range of popular open source LLMs, making it a popular choice for diverse AI applications.

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AWS Machine Learning - AI

NOVEMBER 15, 2024

Principal wanted to use existing internal FAQs, documentation, and unstructured data and build an intelligent chatbot that could provide quick access to the right information for different roles. Principal also used the AWS open source repository Lex Web UI to build a frontend chat interface with Principal branding.

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AWS Machine Learning - AI

APRIL 1, 2025

AI agents extend large language models (LLMs) by interacting with external systems, executing complex workflows, and maintaining contextual awareness across operations. This gives you an AI agent that can transform the way you manage your AWS spend. Perplexity AI MCP server to interpret the AWS spend data.

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TechCrunch

NOVEMBER 4, 2022

Called OpenBioML , the endeavor’s first projects will focus on machine learning-based approaches to DNA sequencing, protein folding and computational biochemistry. Stability AI’s ethically questionable decisions to date aside, machine learning in medicine is a minefield. ” Generating DNA sequences.

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AWS Machine Learning - AI

APRIL 21, 2025

In this blog post, we discuss how Prompt Optimization improves the performance of large language models (LLMs) for intelligent text processing task in Yuewen Group. Evolution from Traditional NLP to LLM in Intelligent Text Processing Yuewen Group leverages AI for intelligent analysis of extensive web novel texts.

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AWS Machine Learning - AI

APRIL 16, 2025

Out-of-the-box models often lack the specific knowledge required for certain domains or organizational terminologies. To address this, businesses are turning to custom fine-tuned models, also known as domain-specific large language models (LLMs). Why LoRAX for LoRA deployment on AWS?

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DevOps.com

JULY 7, 2020

Amazon Web Services (AWS) has made generally available a tool dubbed Amazon CodeGuru that employs machine learning algorithms to recommend ways to improve code quality and identify which lines of code are the most expensive to run on its cloud service.

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Prisma Clud

NOVEMBER 22, 2024

Organizations are increasingly turning to cloud providers, like Amazon Web Services (AWS), to address these challenges and power their digital transformation initiatives. However, the vastness of AWS environments and the ease of spinning up new resources and services can lead to cloud sprawl and ongoing security risks.

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AWS Machine Learning - AI

APRIL 10, 2025

The failed instance also needs to be isolated and terminated manually, either through the AWS Management Console , AWS Command Line Interface (AWS CLI), or tools like kubectl or eksctl. About the Authors Anoop Saha is a Sr GTM Specialist at Amazon Web Services (AWS) focusing on generative AI model training and inference.

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AWS Machine Learning - AI

OCTOBER 29, 2024

This engine uses artificial intelligence (AI) and machine learning (ML) services and generative AI on AWS to extract transcripts, produce a summary, and provide a sentiment for the call. This post provides guidance on how you can create a video insights and summarization engine using AWS AI/ML services.

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CIO

APRIL 15, 2025

During his one hour forty minute-keynote, Thomas Kurian, CEO of Google Cloud showcased updates around most of the companys offerings, including new large language models (LLMs) , a new AI accelerator chip, new open source frameworks around agents, and updates to its data analytics, databases, and productivity tools and services among others.

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CIO

DECEMBER 11, 2024

Digital transformation started creating a digital presence of everything we do in our lives, and artificial intelligence (AI) and machine learning (ML) advancements in the past decade dramatically altered the data landscape. The choice of vendors should align with the broader cloud or on-premises strategy.

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AWS Machine Learning - AI

MARCH 13, 2025

DeepSeek-R1 , developed by AI startup DeepSeek AI , is an advanced large language model (LLM) distinguished by its innovative, multi-stage training process. Instead of relying solely on traditional pre-training and fine-tuning, DeepSeek-R1 integrates reinforcement learning to achieve more refined outputs.

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TechCrunch

MAY 15, 2023

With Together, Prakash, Zhang, Re and Liang are seeking to create open source generative AI models and services that, in their words, “help organizations incorporate AI into their production applications.” Google Cloud, AWS, Azure). Google Cloud, AWS, Azure).

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AWS Machine Learning - AI

APRIL 22, 2025

Over the past several months, we drove several improvements in intelligent prompt routing based on customer feedback and extensive internal testing. In GA, you can configure your own router by selecting any two models from the same model family and then configuring the response quality difference of your router.

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AWS Machine Learning - AI

DECEMBER 6, 2024

Today, we are excited to announce that Mistral-NeMo-Base-2407 and Mistral-NeMo-Instruct-2407 twelve billion parameter large language models from Mistral AI that excel at text generationare available for customers through Amazon SageMaker JumpStart. An AWS Identity and Access Management (IAM) role to access SageMaker.

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O'Reilly Media - Data

JULY 17, 2018

Although machine learning (ML) can produce fantastic results, using it in practice is complex. At Spark+AI Summit 2018, my team at Databricks introduced MLflow , a new open source project to build an open ML platform. Machine learning workflow challenges. MLflow: An open machine learning platform.

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AWS Machine Learning - AI

MARCH 3, 2025

Hybrid architecture with AWS Local Zones To minimize the impact of network latency on TTFT for users regardless of their locations, a hybrid architecture can be implemented by extending AWS services from commercial Regions to edge locations closer to end users. We use Metas open source Llama 3.2-3B

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The Crazy Programmer

JUNE 14, 2024

Artificial Intelligence (AI) is revolutionizing software development by enhancing productivity, improving code quality, and automating routine tasks. Amazon CodeWhisperer Amazon CodeWhisperer is a machine learning-powered code suggestion tool from Amazon Web Services (AWS).

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CIO

JUNE 28, 2023

Amazon Web Services (AWS) on Tuesday unveiled a new no-code offering, dubbed AppFabric, designed to simplify SaaS integration for enterprises by increasing application observability and reducing operational costs associated with building point-to-point solutions. AppFabric, which is available across AWS’ US East (N.

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AWS Machine Learning - AI

OCTOBER 29, 2024

This solution uses decorators in your application code to capture and log metadata such as input prompts, output results, run time, and custom metadata, offering enhanced security, ease of use, flexibility, and integration with native AWS services.

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AWS Machine Learning - AI

NOVEMBER 14, 2024

ComfyUI is an open source, node-based application that empowers users to generate images, videos, and audio using advanced AI models, offering a highly customizable workflow for creative projects. She’s passionate about machine learning technologies and environmental sustainability.

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TechCrunch

AUGUST 24, 2022

In 2020, Chinese startup Zilliz — which builds cloud-native software to process data for AI applications and unstructured data analytics, and is the creator of Milvus , the popular open source vector database for similarity searches — raised $43 million to scale its business and prep the company to make a move into the U.S.

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AWS Machine Learning - AI

NOVEMBER 14, 2024

Streamlit is an open source framework for data scientists to efficiently create interactive web-based data applications in pure Python. We use Anthropic’s Claude 3 Sonnet model in Amazon Bedrock and Streamlit for building the application front-end. Make sure your AWS credentials are configured correctly.

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AWS Machine Learning - AI

MARCH 18, 2025

This application allows users to ask questions in natural language and then generates a SQL query for the users request. Large language models (LLMs) are trained to generate accurate SQL queries for natural language instructions. However, off-the-shelf LLMs cant be used without some modification.

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AWS Machine Learning - AI

MARCH 13, 2025

Advancements in multimodal artificial intelligence (AI), where agents can understand and generate not just text but also images, audio, and video, will further broaden their applications. If the model determines that one of the tools can help generate a response, it returns a request to use the tool.

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AWS Machine Learning - AI

MARCH 13, 2025

We discuss the unique challenges MaestroQA overcame and how they use AWS to build new features, drive customer insights, and improve operational inefficiencies. They were also able to use the familiar AWS SDK to quickly and effortlessly integrate Amazon Bedrock into their application. The best is yet to come.

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AWS Machine Learning - AI

MARCH 11, 2025

DeepSeek-R1 is a large language model (LLM) developed by DeepSeek AI that uses reinforcement learning to enhance reasoning capabilities through a multi-stage training process from a DeepSeek-V3-Base foundation. See the following GitHub repo for more deployment examples using TGI, TensorRT-LLM, and Neuron.

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Xebia

MARCH 21, 2023

Amazon Neptune is a managed graph database service offered by AWS. Setting up the environment in AWS This walkthrough assumes you are familiar with networking in AWS and can set up the corresponding ACLs, Route tables, and Security Groups for VPC/Regional reachability. aws/config ).

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AWS Machine Learning - AI

MARCH 11, 2025

OpenAI launched GPT-4o in May 2024, and Amazon introduced Amazon Nova models at AWS re:Invent in December 2024. Large language models (LLMs) are generally proficient in responding to user queries, but they sometimes generate overly broad or inaccurate responses.

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Xebia

FEBRUARY 28, 2025

Gartner reported that on average only 54% of AI models move from pilot to production: Many AI models developed never even reach production. … that is not an awful lot. We spent time trying to get models into production but we are not able to. No longer is Machine Learning development only about training a ML model.

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TechCrunch

NOVEMBER 22, 2022

Artificial intelligence has become ubiquitous in clinical diagnosis. “We see ourselves building the foundational layer of artificial intelligence in healthcare. Healthtech startup RedBrick AI has raised $4.6 But researchers need much of their initial time preparing data for training AI systems.

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AWS Machine Learning - AI

NOVEMBER 7, 2024

AI agents , powered by large language models (LLMs), can analyze complex customer inquiries, access multiple data sources, and deliver relevant, detailed responses. x or later The AWS CDK CLI installed Deploy the solution The following steps outline the process to deploying the solution using the AWS CDK.

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AWS Machine Learning - AI

JULY 24, 2024

This post is a joint collaboration between Salesforce and AWS and is being cross-published on both the Salesforce Engineering Blog and the AWS Machine Learning Blog. These models are designed to provide advanced NLP capabilities for various business applications. Salesforce, Inc.

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TechCrunch

NOVEMBER 16, 2020

The first product is an open source, synthetic machine learning library for developers that strips out personally identifiable information. The result is a new artificial data set that is anonymized and safe to share across a business. Synthetaic raises $3.5M to train AI with synthetic data.

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AWS Machine Learning - AI

JANUARY 29, 2025

Intelligent document processing , translation and summarization, flexible and insightful responses for customer support agents, personalized marketing content, and image and code generation are a few use cases using generative AI that organizations are rolling out in production.

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CIO

DECEMBER 1, 2023

Since its origins in the early 1970s, LexisNexis and its portfolio of legal and business data and analytics services have faced competitive threats heralded by the rise of the Internet, Google Search, and open source software — and now perhaps its most formidable adversary yet: generative AI, Reihl notes. We will pick the optimal LLM.

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