TechCrunch

NOVEMBER 29, 2023

At its re:Invent conference today, Amazon’s AWS cloud arm announced the launch of SageMaker HyperPod, a new purpose-built service for training and fine-tuning large language models (LLMs). SageMaker HyperPod is now generally available.

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AWS Machine Learning - AI

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 also used the AWS open source repository Lex Web UI to build a frontend chat interface with Principal branding.

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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 9, 2025

The Pro tier, however, would require a highly customized LLM that has been trained on specific data and terminology, enabling it to assist with intricate tasks like drafting complex legal documents. Before migrating any of the provided solutions to production, we recommend following the AWS Well-Architected Framework.

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AWS Machine Learning - AI

NOVEMBER 7, 2024

It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. You can use AWS services such as Application Load Balancer to implement this approach. API Gateway also provides a WebSocket API. These components are illustrated in the following diagram.

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AWS Machine Learning - AI

NOVEMBER 13, 2024

Exclusive to Amazon Bedrock, the Amazon Titan family of models incorporates 25 years of experience innovating with AI and machine learning at Amazon. The AWS Command Line Interface (AWS CLI) installed on your machine to upload the dataset to Amazon S3. If enabled, its status will display as Access granted.

AWS 101

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CIO

JUNE 11, 2024

With a shortage of IT workers with AI skills looming, Amazon Web Services (AWS) is offering two new certifications to help enterprises building AI applications on its platform to find the necessary talent. Candidates for this certification can sign up for an AWS Skill Builder subscription to check three new courses exploring various concepts.

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CIO

NOVEMBER 1, 2024

As part of MMTech’s unifying strategy, Beswick chose to retire the data centers and form an “enterprisewide architecture organization” with a set of standards and base layers to develop applications and workloads that would run on the cloud, with AWS as the firm’s primary cloud provider.

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CIO

MARCH 13, 2025

To help address the problem, he says, companies are doing a lot of outsourcing, depending on vendors and their client engagement engineers, or sending their own people to training programs. In the Randstad survey, for example, 35% of people have been offered AI training up from just 13% in last years survey.

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AWS Machine Learning - AI

MARCH 4, 2025

To achieve these goals, the AWS Well-Architected Framework provides comprehensive guidance for building and improving cloud architectures. This allows teams to focus more on implementing improvements and optimizing AWS infrastructure. This systematic approach leads to more reliable and standardized evaluations.

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Cloudera

NOVEMBER 13, 2024

Several LLMs are publicly available through APIs from OpenAI , Anthropic , AWS , and others, which give developers instant access to industry-leading models that are capable of performing most generalized tasks. Given some example data, LLMs can quickly learn new content that wasn’t available during the initial training of the base model.

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AWS Machine Learning - AI

NOVEMBER 6, 2024

These powerful models, trained on vast amounts of data, can generate human-like text, answer questions, and even engage in creative writing tasks. However, training and deploying such models from scratch is a complex and resource-intensive process, often requiring specialized expertise and significant computational resources.

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AWS Machine Learning - AI

DECEMBER 4, 2024

At AWS re:Invent 2024, we are excited to introduce Amazon Bedrock Marketplace. Nemotron-4 15B, with its impressive 15-billion-parameter architecture trained on 8 trillion text tokens, brings powerful multilingual and coding capabilities to the Amazon Bedrock. About the authors James Park is a Solutions Architect at Amazon Web Services.

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AWS Machine Learning - AI

APRIL 10, 2025

Demystifying RAG and model customization RAG is a technique to enhance the capability of pre-trained models by allowing the model access to external domain-specific data sources. Unlike fine-tuning, in RAG, the model doesnt undergo any training and the model weights arent updated to learn the domain knowledge.

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CIO

NOVEMBER 1, 2024

As part of MMTech’s unifying strategy, Beswick chose to retire the data centers and form an “enterprisewide architecture organization” with a set of standards and base layers to develop applications and workloads that would run on the cloud, with AWS as the firm’s primary cloud provider.

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Xebia

FEBRUARY 28, 2025

… that is not an awful lot. Both the tech and the skills are there: Machine Learning technology is by now easy to use and widely available. So then let me re-iterate: why, still, are teams having troubles launching Machine Learning models into production? First let’s throw in a statistic. What a waste!

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AWS Machine Learning - AI

NOVEMBER 26, 2024

With the release of powerful publicly available foundation models, tools for training, fine tuning and hosting your own LLM have also become democratized. Using vLLM on AWS Trainium and Inferentia makes it possible to host LLMs for high performance inference and scalability. xlarge instances are only available in these AWS Regions.

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CTOvision

AUGUST 19, 2020

Practitioners in the closely related domains of robotics and machine learning have long had a problem when it comes to fielding real-world solutions. Systems need to be trained to operate […].

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AWS Machine Learning - AI

MARCH 26, 2025

Its improved architecture, based on the Multimodal Diffusion Transformer (MMDiT), combines multiple pre-trained text encoders for enhanced text understanding and uses QK-normalization to improve training stability. Use the us-west-2 AWS Region to run this demo. An Amazon SageMaker domain. Access to Stability AIs SD3.5

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CIO

MAY 29, 2024

SAP is expanding its AI ecosystem with a partnership with AWS. The cloud hyperscalers AWS, Google and Microsoft are also important platform partners to operate SAP’s cloud applications. The cloud hyperscalers AWS, Google and Microsoft are also important platform partners to operate SAP’s cloud applications.

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O'Reilly Media - Data

DECEMBER 10, 2019

Roughly a year ago, we wrote “ What machine learning means for software development.” Karpathy suggests something radically different: with machine learning, we can stop thinking of programming as writing a step of instructions in a programming language like C or Java or Python. Instead, we can program by example.

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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. Organizations typically can’t predict their call patterns, so the solution relies on AWS serverless services to scale during busy times.

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AWS Machine Learning - AI

MARCH 3, 2025

Tuning model architecture requires technical expertise, training and fine-tuning parameters, and managing distributed training infrastructure, among others. Its a familiar NeMo-style launcher with which you can choose a recipe and run it on your infrastructure of choice (SageMaker HyperPod or training). recipes=recipe-name.

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AWS Machine Learning - AI

NOVEMBER 15, 2024

At AWS, we are committed to developing AI responsibly , taking a people-centric approach that prioritizes education, science, and our customers, integrating responsible AI across the end-to-end AI lifecycle. For human-in-the-loop evaluation, which can be done by either AWS managed or customer managed teams, you must bring your own dataset.

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AWS Machine Learning - AI

DECEMBER 6, 2024

You can try these models with SageMaker JumpStart, a machine learning (ML) hub that provides access to algorithms and models that can be deployed with one click for running inference. Both pre-trained base and instruction-tuned checkpoints are available under the Apache 2.0

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CIO

APRIL 2, 2025

The spectrum is broad, ranging from process automation using machine learning models to setting up chatbots and performing complex analyses using deep learning methods. They examine existing data sources and select, train and evaluate suitable AI models and algorithms. Model and data analysis.

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AWS Machine Learning - AI

MAY 1, 2024

Llama2 by Meta is an example of an LLM offered by AWS. It comes in a range of parameter sizes—7 billion, 13 billion, and 70 billion—as well as pre-trained and fine-tuned variations. To learn more about Llama 2 on AWS, refer to Llama 2 foundation models from Meta are now available in Amazon SageMaker JumpStart.

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CIO

JUNE 22, 2023

Amazon Web Services (AWS) on Thursday said that it was investing $100 million to start a new program, dubbed the Generative AI Innovation Center, in an effort to help enterprises accelerate the development of generative AI- based applications. Enterprises will also get added support from the AWS Partner Network.

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AWS Machine Learning - AI

JANUARY 13, 2025

The Education and Training Quality Authority (BQA) plays a critical role in improving the quality of education and training services in the Kingdom Bahrain. BQA oversees a comprehensive quality assurance process, which includes setting performance standards and conducting objective reviews of education and training institutions.

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TechCrunch

JULY 12, 2022

Machine learning can provide companies with a competitive advantage by using the data they’re collecting — for example, purchasing patterns — to generate predictions that power revenue-generating products (e.g. e-commerce recommendations). One of its proponents is Mike Del Balso, the CEO of Tecton.

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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. With its growing feature set, TorchServe is a popular choice for deploying and scaling machine learning models among inference customers.

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AWS Machine Learning - AI

DECEMBER 12, 2023

A generative pre-trained transformer (GPT) uses causal autoregressive updates to make prediction. Training LLMs requires colossal amount of compute time, which costs millions of dollars. Training LLMs requires colossal amount of compute time, which costs millions of dollars. We’ll outline how we cost-effectively (3.2

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AWS Machine Learning - AI

FEBRUARY 12, 2025

Trained on broad, generic datasets spanning a wide range of topics and domains, LLMs use their parametric knowledge to perform increasingly complex and versatile tasks across multiple business use cases. For details, refer to Creating an AWS account. Be sure to set up your AWS Command Line Interface (AWS CLI) credentials correctly.

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AWS Machine Learning - AI

NOVEMBER 1, 2024

Fine-tuning is a powerful approach in natural language processing (NLP) and generative AI , allowing businesses to tailor pre-trained large language models (LLMs) for specific tasks. The TAT-QA dataset has been divided into train (28,832 rows), dev (3,632 rows), and test (3,572 rows).

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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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TechCrunch

DECEMBER 15, 2022

Protect AI claims to be one of the few security companies focused entirely on developing tools to defend AI systems and machine learning models from exploits. “We have researched and uncovered unique exploits and provide tools to reduce risk inherent in [machine learning] pipelines.”

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AWS Machine Learning - AI

APRIL 16, 2025

LoRA is a technique for efficiently adapting large pre-trained language models to new tasks or domains by introducing small trainable weight matrices, called adapters, within each linear layer of the pre-trained model. Why LoRAX for LoRA deployment on AWS? Two prominent approaches among our customers are LoRAX and vLLM.

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