AWS Machine Learning - AI

FEBRUARY 8, 2024

Generative AI agents are a versatile and powerful tool for large enterprises. These agents excel at automating a wide range of routine and repetitive tasks, such as data entry, customer support inquiries, and content generation. System integration – Agents make API calls to integrated company systems to run specific actions.

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AWS Machine Learning - AI

SEPTEMBER 20, 2024

Amazon Bedrock agents use LLMs to break down tasks, interact dynamically with users, run actions through API calls, and augment knowledge using Amazon Bedrock Knowledge Bases. The ReAct approach enables agents to generate reasoning traces and actions while seamlessly integrating with company systems through action groups.

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AWS Machine Learning - AI

JULY 10, 2024

Knowledge Bases for Amazon Bedrock is a fully managed service that helps you implement the entire Retrieval Augmented Generation (RAG) workflow from ingestion to retrieval and prompt augmentation without having to build custom integrations to data sources and manage data flows, pushing the boundaries for what you can do in your RAG workflows.

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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. An important aspect of developing effective generative AI application is Reinforcement Learning from Human Feedback (RLHF).

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AWS Machine Learning - AI

FEBRUARY 19, 2024

One way to enable more contextual conversations is by linking the chatbot to internal knowledge bases and information systems. Integrating proprietary enterprise data from internal knowledge bases enables chatbots to contextualize their responses to each user’s individual needs and interests.

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AWS Machine Learning - AI

JULY 2, 2024

In November 2023, we announced Knowledge Bases for Amazon Bedrock as generally available. Knowledge bases allow Amazon Bedrock users to unlock the full potential of Retrieval Augmented Generation (RAG) by seamlessly integrating their company data into the language model’s generation process.

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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. Prospecting, opportunity progression, and customer engagement present exciting opportunities to utilize generative AI, using historical data, to drive efficiency and effectiveness.

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AWS Machine Learning - AI

SEPTEMBER 25, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing FMs from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

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AWS Machine Learning - AI

SEPTEMBER 13, 2024

Managing cloud costs and understanding resource usage can be a daunting task, especially for organizations with complex AWS deployments. AWS Cost and Usage Reports (AWS CUR) provides valuable data insights, but interpreting and querying the raw data can be challenging. This is a proof of concept setup.

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AWS Machine Learning - AI

AUGUST 5, 2024

Fortunately, the rise of artificial intelligence (AI) solutions that can transcribe audio and provide semantic search capabilities now offer more efficient solutions for querying content from audio files at scale. Amazon Transcribe is an AWS AI service that makes it straightforward to convert speech to text.

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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. AWS Landing Zone addresses this need by offering a standardized approach to deploying AWS resources.

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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. Amazon Lex then invokes an AWS Lambda handler for user intent fulfillment.

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AWS Machine Learning - AI

APRIL 8, 2024

One popular approach is using Retrieval Augmented Generation (RAG) to create Q&A systems that comprehend complex information and provide natural responses to queries. RAG allows models to tap into vast knowledge bases and deliver human-like dialogue for applications like chatbots and enterprise search assistants.

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AWS Machine Learning - AI

SEPTEMBER 12, 2024

Generative AI technology, such as conversational AI assistants, can potentially solve this problem by allowing members to ask questions in their own words and receive accurate, personalized responses. User authentication and authorization is done using Amazon Cognito.

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AWS Machine Learning - AI

JULY 11, 2024

This solution shows how Amazon Bedrock agents can be configured to accept cloud architecture diagrams, automatically analyze them, and generate Terraform or AWS CloudFormation templates. This solution uses Retrieval Augmented Generation (RAG) to ensure the generated scripts adhere to organizational needs and industry standards.

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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

JUNE 26, 2024

This post is a follow-up to Generative AI and multi-modal agents in AWS: The key to unlocking new value in financial markets. This blog is part of the series, Generative AI and AI/ML in Capital Markets and Financial Services.

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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

MAY 7, 2024

If you prefer to generate post call recording summaries with Amazon Bedrock rather than Amazon SageMaker, checkout this Bedrock sample solution. Every time a new recording is uploaded to this folder, an AWS Lambda Transcribe function is invoked and initiates an Amazon Transcribe job that converts the meeting recording into text.

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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

DECEMBER 22, 2023

You can set up the provider with TruLens via the following code: from trulens_eval import Bedrock # Initialize AWS Bedrock feedback function collection class: provider = Bedrock(model_id = "amazon.titan-tg1-large", region_name="us-east-1") In this example, we use three feedback functions: answer relevance, context relevance, and groundedness.

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AWS Machine Learning - AI

NOVEMBER 30, 2023

We believe generative AI has the potential over time to transform virtually every customer experience we know. Innovative startups like Perplexity AI are going all in on AWS for generative AI. AWS innovates to offer the most advanced infrastructure for ML.

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