AWS Machine Learning - AI

MARCH 14, 2024

Generative AI with AWS The emergence of FMs is creating both opportunities and challenges for organizations looking to use these technologies. Building large language models (LLMs) from scratch or customizing pre-trained models requires substantial compute resources, expert data scientists, and months of engineering work.

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AWS Machine Learning - AI

NOVEMBER 15, 2024

As Principal grew, its internal support knowledge base considerably expanded. 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. Adherence to responsible and ethical AI practices were a priority for Principal.

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AWS Machine Learning - AI

MAY 30, 2024

In this post, we introduce the Media Analysis and Policy Evaluation solution, which uses AWS AI and generative AI services to provide a framework to streamline video extraction and evaluation processes. This solution, powered by AWS AI and generative AI services, meets these needs. You can extend this section to add more rules.

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AWS Machine Learning - AI

MAY 14, 2024

These models are pre-trained on massive datasets and, to sometimes fine-tuned with smaller sets of more task specific data. RLHF is a technique that combines rewards and comparisons, with human feedback to pre-train or fine-tune a machine learning (ML) model. You can build such chatbots following the same process.

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CIO

MARCH 26, 2024

Once the common reasons are identified via the new mining feature, enterprises can develop a knowledge article or train an Einstein Bot to handle the common requests, the company said in a statement. Salesforce.com

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AWS Machine Learning - AI

AUGUST 6, 2024

Trained on massive datasets, these models can rapidly comprehend data and generate relevant responses across diverse domains, from summarizing content to answering questions. Customization includes varied techniques such as Prompt Engineering, Retrieval Augmented Generation (RAG), and fine-tuning and continued pre-training.

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AWS Machine Learning - AI

AUGUST 15, 2024

QnABot on AWS (an AWS Solution) now provides access to Amazon Bedrock foundational models (FMs) and Knowledge Bases for Amazon Bedrock , a fully managed end-to-end Retrieval Augmented Generation (RAG) workflow. Deploying the QnABot solution builds the following environment in the AWS Cloud.

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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. You also need to consider the operational characteristics and noisy neighbor risks.

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AWS Machine Learning - AI

AUGUST 26, 2024

At AWS, we are transforming our seller and customer journeys by using generative artificial intelligence (AI) across the sales lifecycle. It will be able to answer questions, generate content, and facilitate bidirectional interactions, all while continuously using internal AWS and external data to deliver timely, personalized insights.

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CIO

DECEMBER 9, 2024

In this scenario, using AI to improve employee capabilities by building on the existing knowledge base will be key. Foundation models (FMs) by design are trained on a wide range of data scraped and sourced from multiple public sources.

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AWS Machine Learning - AI

MAY 13, 2024

Since then, Amazon Web Services (AWS) has introduced new services such as Amazon Bedrock. You can securely integrate and deploy generative AI capabilities into your applications using the AWS services you are already familiar with. When summarizing healthcare texts, pre-trained LLMs do not always achieve optimal performance.

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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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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

SEPTEMBER 26, 2024

This domain knowledge is traditionally captured in reference manuals, service bulletins, quality ticketing systems, engineering drawings, and more, but the quantity and complexity of documents is growing and takes time to learn. You simply can’t train new SMEs overnight. Avoiding the well-known problem of hallucination.) “How

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AWS Machine Learning - AI

OCTOBER 21, 2024

Amazon Bedrock offers a serverless experience, so you can get started quickly, privately customize FMs with your own data, and integrate and deploy them into your applications using AWS tools without having to manage infrastructure. The import job can be invoked using the AWS Management Console or through APIs. Service access role.

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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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AWS Machine Learning - AI

MAY 7, 2024

For a generative AI powered Live Meeting Assistant that creates post call summaries, but also provides live transcripts, translations, and contextual assistance based on your own company knowledge base, see our new LMA solution. AWS CDK version 2.0 Mistral 7B Instruct is developed by Mistral AI.

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AWS Machine Learning - AI

FEBRUARY 28, 2024

Our solution aims to address those challenges using Amazon Bedrock and AWS Analytics Services. To address the challenges, our solution first incorporates the metadata of the data sources within the AWS Glue Data Catalog to increase the accuracy of the generated SQL query. Install the AWS Command Line Interface (AWS CLI).

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CIO

NOVEMBER 4, 2024

Camelot has the flexibility to run on any selected GenAI LLM across cloud providers like AWS, Microsoft Azure, and GCP (Google Cloud Platform), ensuring that the company meets compliance regulations for data security. However, integrating Myrddin into the CMMC dashboard was just the beginning.

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AWS Machine Learning - AI

OCTOBER 23, 2024

Built using Amazon Bedrock Knowledge Bases , Amazon Lex , and Amazon Connect , with WhatsApp as the channel, our solution provides users with a familiar and convenient interface. The solution’s scalability quickly accommodates growing data volumes and user queries thanks to AWS serverless offerings.

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AWS Machine Learning - AI

MAY 9, 2024

Verisk FAST’s AI companion aims to alleviate this burden by not only providing 24/7 support for business processing and configuration questions related to FAST, but also tapping into the immense knowledge base to provide an in-depth, tailored response. However, they understood that this was not a one-and-done effort.

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AWS Machine Learning - AI

APRIL 8, 2024

RAG allows models to tap into vast knowledge bases and deliver human-like dialogue for applications like chatbots and enterprise search assistants. It is pre-trained on two trillion text tokens, and intended by Meta to be used for chat assistance to users. Download press releases to use as our external knowledge base.

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AWS Machine Learning - AI

MARCH 28, 2024

It provides a collection of pre-trained models that you can deploy quickly and with ease, accelerating the development and deployment of machine learning (ML) applications. One of the key components of SageMaker JumpStart is the Model Hub, which offers a vast catalog of pre-trained models, such as the Mixtral-8x7B, for a variety of tasks.

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Linux Academy

MARCH 27, 2019

By completing the real-world scenarios, you are growing your personal knowledge base with skills that can be used directly on the job. A few years ago, we launched a Community Edition version for users who weren’t in a position to purchase a membership but who still needed access to some training content.

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AWS Machine Learning - AI

MAY 30, 2024

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. The VitechIQ user experience can be split into two process flows: document repository, and knowledge retrieval.

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AWS Machine Learning - AI

FEBRUARY 1, 2024

Consider the following picture, which is an AWS view of the a16z emerging application stack for large language models (LLMs). The data sources may be PDF documents on a file system, data from a software as a service (SaaS) system like a CRM tool, or data from an existing wiki or knowledge base.

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AWS Machine Learning - AI

OCTOBER 2, 2024

In this post, we share AWS guidance that we have learned and developed as part of real-world projects into practical guides oriented towards the AWS Well-Architected Framework , which is used to build production infrastructure and applications on AWS. We focus on the operational excellence pillar in this post.

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AWS Machine Learning - AI

SEPTEMBER 20, 2024

There are many challenges that can impact employee productivity, such as cumbersome search experiences or finding specific information across an organization’s vast knowledge bases. Knowledge management: Amazon Q Business helps organizations use their institutional knowledge more effectively.

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Perficient

AUGUST 20, 2024

AWS Bedrock is Amazon Web Services’ comprehensive solution that leverages these models to provide robust AI and machine learning (ML) capabilities. This blog delves into the essentials of AI foundational models in AWS Bedrock, highlighting their significance and applications. What are AI Foundational Models?

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AWS Machine Learning - AI

DECEMBER 4, 2024

You can now use Amazon Bedrock features such as Amazon Bedrock Knowledge Bases and Amazon Bedrock Guardrails with models deployed through SageMaker JumpStart. Use the Amazon Bedrock RetrieveAndGenerate API to query the Amazon Bedrock knowledge base. Register the model with Amazon Bedrock.

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AWS Machine Learning - AI

DECEMBER 22, 2023

Amazon Lex supplies the natural language understanding (NLU) and natural language processing (NLP) interface for the open source LangChain conversational agent embedded within an AWS Amplify website. Amazon Lex then invokes an AWS Lambda handler for user intent fulfillment.

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AWS Machine Learning - AI

DECEMBER 6, 2023

Conversational AI has come a long way in recent years thanks to the rapid developments in generative AI, especially the performance improvements of large language models (LLMs) introduced by training techniques such as instruction fine-tuning and reinforcement learning from human feedback. Run npm install to install the dependencies.

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AWS Machine Learning - AI

DECEMBER 4, 2024

Prerequisites To use the model distillation feature, make sure that you have satisfied the following requirements: An active AWS account. Confirm the AWS Regions where the model is available and quotas. Advanced customization : Amazon Bedrock Model Distillation removes the need to create a labeled dataset for fine-tuning.

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AWS Machine Learning - AI

SEPTEMBER 12, 2024

However, they can sometimes hallucinate or produce inaccurate responses when answering questions that they haven’t been trained on. In addition, Meta improved post-training procedures that substantially reduced false refusal rates, improved alignment, and increased diversity in model responses. The Jupyter Notebooks needs ml.t3.medium.

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John Snow Labs

JULY 28, 2023

Customization and Adaptability: Our models can be trained and fine-tuned on the organization’s specific data and tasks, encompassing patient data, clinical guidelines, clinical trial protocols, and biomedical research. These knowledge bases are regularly updated, guaranteeing access to the latest medical knowledge.

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AWS Machine Learning - AI

OCTOBER 10, 2024

In line with its AI Pyramid Strategy, which aims to unlock AI’s potential for anyone, anywhere, anytime, SKT has collaborated with the AWS Generative AI Innovation Center (GenAIIC) Custom Model Program to explore domain-trained models using Amazon Bedrock for telco-specific use cases.

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AWS Machine Learning - AI

MARCH 14, 2024

In this post we highlight how the AWS Generative AI Innovation Center collaborated with the AWS Professional Services and PGA TOUR to develop a prototype virtual assistant using Amazon Bedrock that could enable fans to extract information about any event, player, hole or shot level details in a seamless interactive manner.

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