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eSentire delivers private and secure generative AI interactions to customers with Amazon SageMaker

AWS Machine Learning - AI

To accomplish this, eSentire built AI Investigator, a natural language query tool for their customers to access security platform data by using AWS generative artificial intelligence (AI) capabilities. Therefore, eSentire decided to build their own LLM using Llama 1 and Llama 2 foundational models.

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Natural Language Processing & Machine Learning in Higher Education

Mentormate

In this article, we will discuss how MentorMate and our partner eLumen leveraged natural language processing (NLP) and machine learning (ML) for data-driven decision-making to tame the curriculum beast in higher education. Here, we will primarily focus on drawing insights from structured and unstructured (text) data.

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Build a contextual text and image search engine for product recommendations using Amazon Bedrock and Amazon OpenSearch Serverless

AWS Machine Learning - AI

In this post, we show how to build a contextual text and image search engine for product recommendations using the Amazon Titan Multimodal Embeddings model , available in Amazon Bedrock , with Amazon OpenSearch Serverless. Amazon SageMaker Studio – It is an integrated development environment (IDE) for machine learning (ML).

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Build a contextual chatbot for financial services using Amazon SageMaker JumpStart, Llama 2 and Amazon OpenSearch Serverless with Vector Engine

AWS Machine Learning - AI

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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Improving air quality with generative AI

AWS Machine Learning - AI

More than 170 tech teams used the latest cloud, machine learning and artificial intelligence technologies to build 33 solutions. Cost-effective – The solution should only invoke LLM to generate reusable code on an as-needed basis instead of manipulating the data directly to be as cost-effective as possible.

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Advanced RAG patterns on Amazon SageMaker

AWS Machine Learning - AI

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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Streamline financial workflows with generative AI for email automation

AWS Machine Learning - AI

Intelligent automation presents a chance to revolutionize document workflows across sectors through digitization and process optimization. This post explains a generative artificial intelligence (AI) technique to extract insights from business emails and attachments. Data summarization using large language models (LLMs).