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. It uses the provided conversation history, action groups, and knowledge bases to understand the context and determine the necessary tasks.

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CIO

APRIL 25, 2023

ChatGPT was trained with 175 billion parameters; for comparison, GPT-2 was 1.5B (2019), Google’s LaMBDA was 137B (2021), and Google’s BERT was 0.3B (2018). ChatGPT’s conversational interface is a distinguished method of accessing its knowledge. Learn more about Protiviti’s Artificial Intelligence Services.

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AWS Machine Learning - AI

OCTOBER 31, 2024

The solution integrates large language models (LLMs) with your organization’s data and provides an intelligent chat assistant that understands conversation context and provides relevant, interactive responses directly within the Google Chat interface. This request contains the user’s message and relevant metadata.

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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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AWS Machine Learning - AI

JUNE 26, 2024

Artificial intelligence (AI)-powered assistants can boost the productivity of a financial analysts, research analysts, and quantitative trading in capital markets by automating many of the tasks, freeing them to focus on high-value creative work. AI-powered assistants for investment research So, what are AI-powered assistants?

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Artificial Inteligence Research Knowledge Base Applications 121

AWS Machine Learning - AI

APRIL 8, 2024

Unlocking accurate and insightful answers from vast amounts of text is an exciting capability enabled by large language models (LLMs). When building LLM applications, it is often necessary to connect and query external data sources to provide relevant context to the model.

Artificial Inteligence 122

Artificial Inteligence Applications Knowledge Base AWS 122

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

NOVEMBER 19, 2024

In this post, we demonstrate how to create an automated email response solution using Amazon Bedrock and its features, including Amazon Bedrock Agents , Amazon Bedrock Knowledge Bases , and Amazon Bedrock Guardrails. These indexed documents provide a comprehensive knowledge base that the AI agents consult to inform their responses.

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AWS Machine Learning - AI

OCTOBER 24, 2024

Agentic workflows are a fresh new perspective in building dynamic and complex business use- case based workflows with the help of large language models (LLM) as their reasoning engine or brain. We use Amazon Bedrock Agents with two knowledge bases for this assistant. What are some S3 best practices?

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AWS Machine Learning - AI

SEPTEMBER 12, 2024

BGE Large overview The embedding model BGE Large stands for BAAI general embedding large. It’s developed by BAAI and is designed to enhance retrieval capabilities within large language models (LLMs). First, relevant content is retrieved from an external knowledge base based on the user’s query.

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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

NOVEMBER 7, 2024

AI agents , powered by large language models (LLMs), can analyze complex customer inquiries, access multiple data sources, and deliver relevant, detailed responses. Amazon Bedrock Agents coordinates interactions between foundation models (FMs), knowledge bases, and user conversations.

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Lambda Enterprise Automotive Knowledge Base 125

AWS Machine Learning - AI

SEPTEMBER 12, 2024

In this post, we discuss how generative artificial intelligence (AI) can help health insurance plan members get the information they need. A pre-configured prompt template is used to call the LLM and generate a valid SQL query. The Amazon Bedrock API endpoint is used to invoke the Anthropic Claude 3 Sonnet LLM.

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AWS Machine Learning - AI

NOVEMBER 27, 2024

The Amazon Bedrock agent forwards the details to an action group that invokes a Lambda function. This function retrieves the code, scans it for vulnerabilities using a preselected large language model (LLM), applies remediation, and pushes the remediated code to a new branch for user validation.

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Software Review Lambda Generative AI Artificial Inteligence 102

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.

Artificial Inteligence 124

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AWS Machine Learning - AI

APRIL 18, 2024

Generative artificial intelligence (AI) with Amazon Bedrock directly addresses these challenges. This standardization is made possible by using advanced prompts in conjunction with Knowledge Bases for Amazon Bedrock , which stores information on organization-specific Terraform modules. Access to Amazon Bedrock models.

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AWS Applications Lambda Knowledge Base 126

AWS Machine Learning - AI

JULY 11, 2024

Diagram analysis and query generation : The Amazon Bedrock agent forwards the architecture diagram location to an action group that invokes an AWS Lambda. This function retrieves the architecture diagram from the specified S3 bucket, analyzes it using the Amazon Bedrock model, and produces a summary of the diagram.

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AWS Machine Learning - AI

NOVEMBER 27, 2024

The RDF is converted into text and loaded into an S3 bucket, which is accessed by Amazon Bedrock (4) as the source of the knowledge base. A state machine in AWS Step Functions defines the workflow of the ingestion process by invoking AWS Lambda functions, as illustrated in the following figure.

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AWS Machine Learning - AI

NOVEMBER 27, 2024

Custom orchestrator overview Implemented by users as an AWS Lambda function, the Amazon Bedrock Agents custom orchestrator offers granular control over task planning, completion, and verification. Use Amazon Bedrock Agents built-in integrations with action groups, knowledge bases, and guardrails to streamline interactions.

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Lambda Generative AI AWS Knowledge Base 107

AWS Machine Learning - AI

OCTOBER 2, 2024

It’s a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like Anthropic, Cohere, Meta, Mistral 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.

Generative AI 118

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AWS Machine Learning - AI

OCTOBER 29, 2024

We have built a custom observability solution that Amazon Bedrock users can quickly implement using just a few key building blocks and existing logs using FMs, Amazon Bedrock Knowledge Bases , Amazon Bedrock Guardrails , and Amazon Bedrock Agents.

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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

NOVEMBER 7, 2024

It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. Depending on the use case and data isolation requirements, tenants can have a pooled knowledge base or a siloed one and implement item-level isolation or resource level isolation for the data respectively.

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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. This includes sales collateral, customer engagements, external web data, machine learning (ML) insights, and more.

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Generative AI AWS Artificial Inteligence Technical Review 122

AWS Machine Learning - AI

OCTOBER 15, 2024

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

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Lambda Knowledge Base AWS Generative AI 93

AWS Machine Learning - AI

NOVEMBER 1, 2024

Although tagging is supported on a variety of Amazon Bedrock resources —including provisioned models, custom models, agents and agent aliases, model evaluations, prompts, prompt flows, knowledge bases, batch inference jobs, custom model jobs, and model duplication jobs—there was previously no capability for tagging on-demand foundation models.

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AWS Machine Learning - AI

SEPTEMBER 20, 2024

These agents help users complete actions based on organizational data and user input, orchestrating interactions between foundation models (FMs), data sources, software applications, and user conversations. Amazon Bedrock agents use the power of large language models (LLMs) to perform complex reasoning and action generation.

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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. With the ability to continuously update and add to the knowledge base, AI applications stay current with the latest information.

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Lambda Knowledge Base Generative AI AWS 94

AWS Machine Learning - AI

JULY 10, 2024

These features are designed to accelerate the development, testing, and deployment of generative artificial intelligence (AI) applications, enabling developers and business users to create more efficient and effective solutions that are easier to maintain. You can chain or route steps to define your own logic and processing outputs.

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AWS Machine Learning - AI

OCTOBER 7, 2024

You can use Amazon Kendra to quickly build high-accuracy generative AI applications on enterprise data and source the most relevant content and documents to maximize the quality of your Retrieval Augmented Generation (RAG) payload, yielding better large language model (LLM) responses than using conventional or keyword-based search solutions.

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AWS Machine Learning - AI

SEPTEMBER 13, 2024

In this post, we explore a solution that uses generative artificial intelligence (AI) to generate a SQL query from a user’s question in natural language. This could be Amazon Elastic Compute Cloud (Amazon EC2), AWS Lambda , AWS SDK , Amazon SageMaker notebooks, or your workstation if you are doing a quick proof of concept.

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Generative AI AWS Artificial Inteligence Technical Review 87

AWS Machine Learning - AI

DECEMBER 22, 2023

Amazon Lex then invokes an AWS Lambda handler for user intent fulfillment. The Lambda function associated with the Amazon Lex chatbot contains the logic and business rules required to process the user’s intent. A Lambda layer for Amazon Bedrock Boto3, LangChain, and pdfrw libraries. create-stack.sh

Generative AI 122

Generative AI Lambda AWS Technical Review 122

AWS Machine Learning - AI

NOVEMBER 26, 2024

With Amazon Bedrock, you can create an agent in just a few quick steps by first selecting an FM and providing it access to your enterprise systems, knowledge bases, and actions to securely execute your APIs. These actions can be implemented in the cloud using AWS Lambda , or you can use local business logic with return of control.

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AWS Machine Learning - AI

OCTOBER 1, 2024

Although AI chatbots have been around for years, recent advances of large language models (LLMs) like generative AI have enabled more natural conversations. This chatbot is designed to assist users with various tasks, provide information, and offer personalized support based on their unique requirements.

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Serverless Artificial Inteligence AWS Software Review 84

Perficient

AUGUST 20, 2024

The rapid advancement of artificial intelligence (AI) has led to the development of foundational models that form the bedrock of numerous AI applications. AWS Bedrock is Amazon Web Services’ comprehensive solution that leverages these models to provide robust AI and machine learning (ML) capabilities.

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AWS Machine Learning - AI

NOVEMBER 14, 2024

We use Anthropic’s Claude 3 Sonnet model in Amazon Bedrock and Streamlit for building the application front-end. Solution overview This solution uses the Amazon Bedrock Knowledge Bases chat with document feature to analyze and extract key details from your invoices, without needing a knowledge base. endswith('.pdf'):

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Software Review Technical Review AWS Artificial Inteligence 103

AWS Machine Learning - AI

NOVEMBER 22, 2024

RAG and other possible integrations RAG is a strategy that enhances the output of a large language model (LLM) by allowing it to reference an authoritative external knowledge base, generating more accurate or secure responses. sync) pattern, which automatically waits for the completion of asynchronous jobs.

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