AWS Machine Learning - AI

MAY 31, 2024

Amazon Bedrock is a fully managed service that makes foundational models (FMs) from leading artificial intelligence (AI) companies and Amazon available through an API, so you can choose from a wide range of FMs to find the model that’s best suited for your use case.

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AWS Machine Learning - AI

FEBRUARY 19, 2024

Chatbots also offer valuable data-driven insights into customer behavior while scaling effortlessly as the user base grows; therefore, they present a cost-effective solution for engaging customers. Chatbots use the advanced natural language capabilities of large language models (LLMs) to respond to customer questions.

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CIO

SEPTEMBER 7, 2022

Cropin, an agritech startup backed by the Bill and Melinda Gates Foundation, on Tuesday said that it was launching its industry cloud for agriculture, built on Amazon Web Services (AWS).

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AWS Machine Learning - AI

MAY 14, 2024

Recent advances in artificial intelligence have led to the emergence of generative AI that can produce human-like novel content such as images, text, and audio. These models are pre-trained on massive datasets and, to sometimes fine-tuned with smaller sets of more task specific data.

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Perficient

NOVEMBER 30, 2023

The recent introduction of AWS Q has certainly caught the attention of the tech community. In terms of utilizing AWS Q, users are presented with a variety of options. Back in March 2021, we launched our Handshake integration with AWS Kendra , ensuring compatibility with all of our sources. Join us on this journey of discovery.

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AWS Machine Learning - AI

FEBRUARY 8, 2024

At the forefront of this evolution sits Amazon Bedrock , a fully managed service that makes high-performing foundation models (FMs) from Amazon and other leading AI companies available through an API. The following demo recording highlights Agents and Knowledge Bases for Amazon Bedrock functionality and technical implementation details.

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AWS Machine Learning - AI

APRIL 23, 2024

Generative artificial intelligence (AI) has gained significant momentum with organizations actively exploring its potential applications. The AWS Well-Architected Framework provides best practices and guidelines for designing and operating reliable, secure, efficient, and cost-effective systems in the cloud.

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John Snow Labs

JULY 5, 2023

With this support, you can look forward to faster inference, automatic optimization, and quantization when exporting your LLM models. Additionally, we are also set to release an array of new LLM models fine-tuned specifically for chat and instruction, now that we have successfully integrated ONNX Runtime into Spark NLP.

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AWS Machine Learning - AI

MARCH 28, 2024

You can deploy this solution with just a few clicks using Amazon SageMaker JumpStart , a fully managed platform that offers state-of-the-art foundation models for various use cases such as content writing, code generation, question answering, copywriting, summarization, classification, and information retrieval.

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AWS Machine Learning - AI

MAY 7, 2024

A more efficient way to manage meeting summaries is to create them automatically at the end of a call through the use of generative artificial intelligence (AI) and speech-to-text technologies. The Hugging Face containers host a large language model (LLM) from the Hugging Face Hub.

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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.

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AWS Machine Learning - AI

MAY 9, 2024

Verisk is using generative artificial intelligence (AI) to enhance operational efficiencies and profitability for insurance clients while adhering to its ethical AI principles. The Approach When building an interactive agent with large language models (LLMs), there are often two techniques that can be used: RAG and fine-tuning.

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AWS Machine Learning - AI

MARCH 14, 2024

Generative artificial intelligence (generative AI) has enabled new possibilities for building intelligent systems. Recent improvements in Generative AI based large language models (LLMs) have enabled their use in a variety of applications surrounding information retrieval.

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AWS Machine Learning - AI

MAY 13, 2024

In part 1 of this blog series, we discussed how a large language model (LLM) available on Amazon SageMaker JumpStart can be fine-tuned for the task of radiology report impression generation. Since then, Amazon Web Services (AWS) has introduced new services such as Amazon Bedrock.

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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

NOVEMBER 22, 2023

In addition, customers are looking for choices to select the most performant and cost-effective machine learning (ML) model and the ability to perform necessary customization (fine-tuning) to fit their business use cases. The LLM generated text, and the IR system retrieves relevant information from a knowledge base.

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AWS Machine Learning - AI

FEBRUARY 28, 2024

The solution in this post aims to bring enterprise analytics operations to the next level by shortening the path to your data using natural language. With the emergence of large language models (LLMs), NLP-based SQL generation has undergone a significant transformation. on Amazon Bedrock as our LLM.

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AWS Machine Learning - AI

MAY 7, 2024

Large language models (LLMs) have unlocked new possibilities for extracting information from unstructured text data. Although much of the current excitement is around LLMs for generative AI tasks, many of the key use cases that you might want to solve have not fundamentally changed.

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Cloudera

DECEMBER 20, 2023

Cloudera is launching and expanding partnerships to create a new enterprise artificial intelligence “AI” ecosystem. 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

APRIL 18, 2024

Tools like Terraform and AWS CloudFormation are pivotal for such transitions, offering infrastructure as code (IaC) capabilities that define and manage complex cloud environments with precision. Generative artificial intelligence (AI) with Amazon Bedrock directly addresses these challenges.

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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. This repeats until all context is considered and the LLM outputs a draft matching the included template.

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AWS Machine Learning - AI

DECEMBER 22, 2023

We start off with a baseline foundation model from SageMaker JumpStart and evaluate it with TruLens , an open source library for evaluating and tracking large language model (LLM) apps. In development, you can use open source TruLens to quickly evaluate, debug, and iterate on your LLM apps in your environment.

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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

FEBRUARY 1, 2024

Full stack generative AI Although a lot of the excitement around generative AI focuses on the models, a complete solution involves people, skills, and tools from several domains. Consider the following picture, which is an AWS view of the a16z emerging application stack for large language models (LLMs).

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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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CIO

MAY 23, 2023

Advanced Customer Experience (CX) solutions like Artificial Intelligence (AI), automation, and Machine Learning (ML) are required to produce tangible benefits. For large, traditionally on-premises enterprises, hybrid cloud is a gateway to this innovation. Why hybrid cloud now?

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AWS Machine Learning - AI

NOVEMBER 30, 2023

The number of companies launching generative AI applications on AWS is substantial and building quickly, including adidas, Booking.com, Bridgewater Associates, Clariant, Cox Automotive, GoDaddy, and LexisNexis Legal & Professional, to name just a few. Innovative startups like Perplexity AI are going all in on AWS for generative AI.

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AWS Machine Learning - AI

APRIL 26, 2024

At AWS re:Invent 2023, we announced the general availability of Knowledge Bases for Amazon Bedrock. With Knowledge Bases for Amazon Bedrock, you can securely connect foundation models (FMs) in Amazon Bedrock to your company data for fully managed Retrieval Augmented Generation (RAG).

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AWS Machine Learning - AI

MARCH 19, 2024

In the evolving landscape of manufacturing, the transformative power of AI and machine learning (ML) is evident, driving a digital revolution that streamlines operations and boosts productivity. Answers are generated through the Amazon Bedrock knowledge base with a RAG approach. Request access to the Amazon Bedrock model.

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AWS Machine Learning - AI

NOVEMBER 26, 2023

How Amazon Bedrock is changing the landscape of conversational AI Amazon Bedrock is a user-friendly way to build and scale generative AI applications with foundational models (FMs). Amazon Bedrock offers an array of FMs from leading providers, so AWS customers have flexibility and choice to use the best models for their specific use case.

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AWS Machine Learning - AI

JANUARY 25, 2024

You can populate your Amazon Q business expert application with your own company’s documents and knowledge base articles, so it will be able to answer your specific questions! In this post, we walk you through the process to deploy Amazon Q business expert in your AWS account and add it to Microsoft Teams. Region Launch Stack N.

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AWS Machine Learning - AI

JANUARY 31, 2024

Overview In 2016, a new era of innovation began when Mendix announced a strategic collaboration with AWS. By taking advantage of the robust cloud infrastructure of AWS, Mendix was able to provide a secure, scalable, and reliable solution for enterprises across the globe. Amazon Bedrock offers many ready-to-use AI models.

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iTexico

AUGUST 9, 2019

Companies like Amazon and IBM work off of Amazon Web Services, abbreviated to AWS. It’s currently the cloud market leader, outpacing any of its competitors by a fairly large margin. If you’re looking for a cloud services platform with a hefty, extensive portfolio, then AWS should fit your preferences.

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Codegiant

NOVEMBER 9, 2020

It is a knowledge base or wiki that stores and organizes all of the different projects’ information assets. Cloud9 Cloud9 is a cloud-based software dev tool. It is developed and maintained by Amazon AWS. Multi-language support. Deploy PHP applications on any server for Azure and AWS. Heavy sized software.

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Codegiant

NOVEMBER 9, 2020

It is a knowledge base or wiki that stores and organizes all of the different projects’ information assets. ” Cloud9 Cloud9 is a cloud-based software dev tool. It is developed and maintained by Amazon AWS. Multi-language support. Deploy PHP applications on any server for Azure and AWS.

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Altexsoft

DECEMBER 16, 2021

This robust tool is typically used to perform data governance for AI applications, business analytics, or powerful knowledge bases, all supported by a self-service data pipeline. HealthShare is InterSystems’ EMPI solution that can be deployed on cloud, on premise, and on their AWS data platform.

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Altexsoft

MARCH 30, 2023

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data.

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