Remove Auto-classification Remove LLM Remove Responsible AI
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Turbocharging premium audit capabilities with the power of generative AI: Verisk’s journey toward a sophisticated conversational chat platform to enhance customer support

AWS Machine Learning Blog

The company is committed to ethical and responsible AI development with human oversight and transparency. Verisk is using generative AI to enhance operational efficiencies and profitability for insurance clients while adhering to its ethical AI principles. Verisk developed an evaluation tool to enhance response quality.

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Building Agentic AI: RAG LLMs, Responsible AI, and Scalable LLMOps Practices

John Snow Labs

This talk explores how RAG LLMs power specialized AI agents for Auto Bodily Injury, Workers Compensation, and General Liability claims, handling identity verification, intent classification, document processing, fraud detection, and claim negotiation with high accuracy.

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From concept to reality: Navigating the Journey of RAG from proof of concept to production

AWS Machine Learning Blog

The brand might be willing to absorb the higher costs of using a more powerful and expensive FMs to achieve the highest-quality classifications, because misclassifications could lead to customer dissatisfaction and damage the brands reputation. You can use Amazon Bedrock Guardrails for implementing responsible AI policies.

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Evaluate the reliability of Retrieval Augmented Generation applications using Amazon Bedrock

AWS Machine Learning Blog

It allows LLMs to reference authoritative knowledge bases or internal repositories before generating responses, producing output tailored to specific domains or contexts while providing relevance, accuracy, and efficiency. Generation is the process of generating the final response from the LLM.

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List of Groundbreaking and Open-Source Conversational AI Models in the Language Domain

Marktechpost

Here are some other open-source large language models (LLMs) that are revolutionizing conversational AI. LLaMA Release date : February 24, 2023 LLaMa is a foundational LLM developed by Meta AI. It is designed to be more versatile and responsible than other models.

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Announcing New Tools for Building with Generative AI on AWS

Flipboard

For instance, a financial firm that needs to auto-generate a daily activity report for internal circulation using all the relevant transactions can customize the model with proprietary data, which will include past reports, so that the FM learns how these reports should read and what data was used to generate them.

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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

Some of its features include a data labeling workforce, annotation workflows, active learning and auto-labeling, scalability and infrastructure, and so on. The platform provides a comprehensive set of annotation tools, including object detection, segmentation, and classification.