AWS Machine Learning - AI

NOVEMBER 26, 2023

Today, we are excited to announce three launches that will help you enhance personalized customer experiences using Amazon Personalize and generative AI. Amazon Personalize is a fully managed machine learning (ML) service that makes it easy for developers to deliver personalized experiences to their users.

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TechCrunch

APRIL 20, 2023

But it pivoted within the last several years to general-purpose computing as well as generative AI technologies, like text-generating AI models. For perspective, AWS made $80.1 ” Them’s fighting words, to be sure, especially as AWS launches a dedicated service for serving text-generating models.

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CIO

JULY 10, 2023

Now, with the infrastructure side of its data house in order, the California-based company is envisioning a bold new future with AI and machine learning (ML) at its core. Now, how do we stay ahead in this AI landscape? But in a world that moves at internet speed, that data rapidly falls out of date. “If

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AWS Machine Learning - AI

DECEMBER 12, 2023

In this post, we’ll summarize training procedure of GPT NeoX on AWS Trainium , a purpose-built machine learning (ML) accelerator optimized for deep learning training. M tokens/$) trained such models with AWS Trainium without losing any model quality. We’ll outline how we cost-effectively (3.2 billion in Pythia.

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AWS Machine Learning - AI

MAY 30, 2024

Alternatively, open-source technologies like Langchain can be used to orchestrate the end-to-end flow. With Bedrock’s serverless experience, one can get started quickly, privately customize FMs with their own data, and easily integrate and deploy them into applications using the AWS tools without having to manage any infrastructure.

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Perficient

MAY 10, 2023

Watsonx is designed to help enterprises scale and accelerate the impact of the most advanced AI with trusted data. Watsonx will offer a studio, a data store, and a governance toolkit for building, tuning, and deploying foundation models and generative AI across any cloud environment. What are Foundation Models and Generative AI?

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AWS Machine Learning - AI

MARCH 28, 2024

The objective is to create financial LLMs by feeding data from the whole financial domain into an open-sourced model. Specifically, the authors continually pre-train the open sourced models on the task tokens (without labels). He focuses on developing large language models and Generative AI applications for finance.

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CIO

NOVEMBER 16, 2023

Generative AI is transforming the world, changing the way we create images and videos, audio, text, and code. According to a September survey of IT decision makers by Dell, 76% say gen AI will have a “significant if not transformative” impact on their organizations, and most expect to see meaningful results within the next 12 months.

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Cloudera

DECEMBER 20, 2023

That’s why we’re building an ecosystem of technology providers to make it easier, more economical, and safer for our customers to maximize the value they get from AI. At our recent Evolve Conference in New York we were extremely excited to announce our founding AI ecosystem partners: Amazon Web Services (“AWS“), NVIDIA, and Pinecone.

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AWS Machine Learning - AI

JUNE 12, 2024

For more information, see Amazon Q Business, now generally available, helps boost workforce productivity with generative AI. The UI application assumes an AWS Identity and Access Management (IAM) role and retrieves an AWS session token from the AWS Security Token Service (AWS STS).

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AWS Machine Learning - AI

JANUARY 9, 2024

With the rapid adoption of generative AI applications, there is a need for these applications to respond in time to reduce the perceived latency with higher throughput. Large language models (LLMs) are a type of FM that generate text as a response of the user inference.

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CIO

SEPTEMBER 21, 2023

Generative AI touches every aspect of the enterprise, and every aspect of society,” says Bret Greenstein, partner and leader of the gen AI go-to-market strategy at PricewaterhouseCoopers. In a recent report, he estimated that gen AI software revenues will grow from $3.7 So did Amazon on AWS.

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CIO

DECEMBER 1, 2023

IT leaders looking for a blueprint for staving off the disruptive threat of generative AI might benefit from a tip from LexisNexis EVP and CTO Jeff Reihl: Be a fast mover in adopting the technology to get ahead of potential disruptors. We use AWS and Azure. But the foray isn’t entirely new. We will pick the optimal LLM.

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Cloudera

APRIL 1, 2024

Cloudera, a leader in big data analytics, provides a unified Data Platform for data management, AI, and analytics. Our customers run some of the world’s most innovative, largest, and most demanding data science, data engineering, analytics, and AI use cases, including PB-size generative AI workloads.

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O'Reilly Media - Ideas

AUGUST 8, 2023

At its peak, ChatGPT was in very exclusive company: it’s not quite on the level of Python, Kubernetes, and Java, but it’s in the mix with AWS and React, and significantly ahead of Docker. The number of searches for Machine Learning itself held steady, though it arguably declined slightly when ChatGPT appeared.

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O'Reilly Media - Ideas

JANUARY 25, 2024

Before that, cloud computing itself took off in roughly 2010 (AWS was founded in 2006); and Agile goes back to 2000 (the Agile Manifesto dates back to 2001, Extreme Programming to 1999). Generative AI is the wild card: Will it help developers to manage complexity? It’s tempting to look at AI as a quick fix.

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AWS Machine Learning - AI

FEBRUARY 1, 2024

Resilience plays a pivotal role in the development of any workload, and generative AI workloads are no different. There are unique considerations when engineering generative AI workloads through a resilience lens. There are three general types of vector databases: Dedicated SaaS options like Pinecone.

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Altexsoft

OCTOBER 26, 2023

Natural language processing (NLP) is a branch of AI that provides machines with the capability to comprehend human language. It harnesses linguistic principles, statistics, and machine learning algorithms to interpret spoken or written language, going beyond literal interpretations to capture context nuances.

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AWS Machine Learning - AI

DECEMBER 22, 2023

Generative AI agents are capable of producing human-like responses and engaging in natural language conversations by orchestrating a chain of calls to foundation models (FMs) and other augmenting tools based on user input. In this post, we demonstrate how to build a generative AI financial services agent powered by Amazon Bedrock.

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AWS Machine Learning - AI

MAY 30, 2024

Because Amazon Bedrock is serverless, you don’t have to manage infrastructure, and you can securely integrate and deploy generative AI capabilities into your applications using the AWS services you are already familiar with. Embeddings were generated using Amazon Titan.

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Tenable

DECEMBER 22, 2023

Learn how the cyber world changed in areas including artificial intelligence, CNAPP, IAM security, government oversight and OT security. Here’s a small sampling of advice and recommendations issued in 2023: ISACA’s “ Considerations for Implementing a Generative Artificial Intelligence Policy ” McKinsey & Co.’s

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AWS Machine Learning - AI

MAY 7, 2024

If you prefer to generate post call recording summaries with Amazon Bedrock rather than Amazon SageMaker, checkout this Bedrock sample solution. Hugging Face is an open-source machine learning (ML) platform that provides tools and resources for the development of AI projects. AWS CDK version 2.0

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AWS Machine Learning - AI

DECEMBER 13, 2023

In this post, we showcase fine-tuning a Llama 2 model using a Parameter-Efficient Fine-Tuning (PEFT) method and deploy the fine-tuned model on AWS Inferentia2. We use the AWS Neuron software development kit (SDK) to access the AWS Inferentia2 device and benefit from its high performance.

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CIO

DECEMBER 13, 2023

Most recently, in June, it spent $650 million to buy Casetext, a 104-employee company that offers an AI assistant for legal professionals powered by OpenAI’s GPT-4, the same large language model (LLM) behind ChatGPT. But that’s not the only big bet the company is making on generative AI. We see huge value unlock in that.”

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AWS Machine Learning - AI

DECEMBER 14, 2023

Amazon SageMaker Studio offers a broad set of fully managed integrated development environments (IDEs) for machine learning (ML) development, including JupyterLab, Code Editor based on Code-OSS (Visual Studio Code Open Source), and RStudio.

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Sunflower Lab

FEBRUARY 12, 2024

To sum it up, in generative AI the key distinction between large and small language models lies in their scale. Cloud-based AI Platforms Cloud providers such as Google Cloud AI, Amazon Web Services (AWS), and Microsoft Azure offer services for training and deploying custom LLMs.

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AWS Machine Learning - AI

FEBRUARY 19, 2024

The integration of retrieval and generation also requires additional engineering effort and computational resources. Some open source libraries provide wrappers to reduce this overhead; however, changes to libraries can introduce errors and add additional overhead of versioning. What is AWS year-over-year revenue in 2022?

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AWS Machine Learning - AI

APRIL 16, 2024

Amazon SageMaker Studio provides a fully managed solution for data scientists to interactively build, train, and deploy machine learning (ML) models. In the process of working on their ML tasks, data scientists typically start their workflow by discovering relevant data sources and connecting to them. or later image versions.

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AWS Machine Learning - AI

MARCH 28, 2024

These generative AI applications are not only used to automate existing business processes, but also have the ability to transform the experience for customers using these applications.

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Altexsoft

NOVEMBER 1, 2023

Word embeddings translate words or phrases into numerical vectors of fixed size, making it easier for machine learning models to process. Tools like Word2Vec and GloVe are popular for generating such embeddings, and they help in understanding the context and relationships between words in a text. .” Why use it?

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AWS Machine Learning - AI

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 - AI

APRIL 1, 2024

Machine learning (ML) research has proven that large language models (LLMs) trained with significantly large datasets result in better model quality. In the last few years, the size of current generation models has increased significantly, and they require modern tools and infrastructure to be trained efficiently and at scale.

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AWS Machine Learning - AI

FEBRUARY 9, 2024

Enterprises are seeking to quickly unlock the potential of generative AI by providing access to foundation models (FMs) to different lines of business (LOBs). We describe how the solution and Amazon Bedrock consumption plans map to the general SaaS journey framework. The AWS CDK code is available in the GitHub repository.

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AWS Machine Learning - AI

NOVEMBER 21, 2023

Amazon Textract is a machine learning (ML) service that automatically extracts text, handwriting, and data from any document or image. We also released the updated version of the open source postprocessing toolkit, purpose-built for Amazon Textract, known as Amazon Textract Textractor.

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AWS Machine Learning - AI

JUNE 5, 2024

Skyflow experienced this growth and documentation challenge in early 2023 as it expanded globally from 8 to 22 AWS Regions, including China and other areas of the world such as Saudi Arabia, Uzbekistan, and Kazakhstan. To do this, Skyflow built VerbaGPT, a generative AI tool based on Amazon Bedrock. Build the RAG pipeline.

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O'Reilly Media - Ideas

MARCH 1, 2023

Software development is followed by IT operations (18%), which includes cloud, and by data (17%), which includes machine learning and artificial intelligence. When you add searches for Go and Golang, the Go language moves from 15th and 16th place up to 5th, just behind machine learning. How much further nobody knows.

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AWS Machine Learning - AI

NOVEMBER 20, 2023

Retrieval Augmented Generation (RAG) allows you to provide a large language model (LLM) with access to data from external knowledge sources such as repositories, databases, and APIs without the need to fine-tune it. Use the deployed models in your question answering generative AI applications. embeddings.

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