Remove tag automated-quality-management
article thumbnail

Build an end-to-end MLOps pipeline for visual quality inspection at the edge – Part 2

AWS Machine Learning

In Part 1 of this series, we drafted an architecture for an end-to-end MLOps pipeline for a visual quality inspection use case at the edge. It is architected to automate the entire machine learning (ML) process, from data labeling to model training and deployment at the edge. Labeling jobs are used to manage labeling workflows.

article thumbnail

Improve LLM performance with human and AI feedback on Amazon SageMaker for Amazon Engineering

AWS Machine Learning

This method addressed the RAG limitation and further improved the bot response quality. Supervised fine-tuning In the previous post, we demonstrated how the fine-tuned Falcon-7B model outperforms the RAG pipeline and improves the quality and accuracy of QA bot response. Answer the score inside of tags.

Feedback 106
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

How CX Insights From Automated Tagging of Support Tickets Help Product Managers

CSM Magazine

In this article, Palak Dalal Bhatia, CEO and Founder of IrisAgent, explains how AI-powered automated tagging can provide a reliable source of customer feedback for Product Managers. Tapping into this feedback gives product managers insights into what is working well and what is not and where they need to focus on their roadmap.

article thumbnail

Build an end-to-end MLOps pipeline for visual quality inspection at the edge – Part 3

AWS Machine Learning

This is Part 3 of our series where we design and implement an MLOps pipeline for visual quality inspection at the edge. In this post, we focus on how to automate the edge deployment part of the end-to-end MLOps pipeline. In Part 2 , we showed how to automate the labeling and model training parts of the pipeline.

article thumbnail

Understanding Negative NPS Score: Causes, Impact and Solutions

Lumoa

Zendesk’s research found that an overwhelming majority of consumers (nearly three out of five ) stated that quality customer service is paramount in cultivating brand loyalty. Quality of Product/Service Falling Short of Customer Expectations As consumers, we all have expectations from the products and services we acquire.

NPS 208
article thumbnail

How to analyze Zendesk tickets & Intercom chats for customer insights

Thematic

With just one click, you can now send your customer conversations to Thematic for automated tagging and analysis. These insights help Product Managers to prioritize issues that matter. Tagging takes away the time they could have spent helping more customers. What is chat analytics?

article thumbnail

Top 5 Chat Conversation Tagging Challenges

Playvox

Various teams need insights into customer issues and needs, from the C-suite to product managers, as well as designers, researchers, and marketers. To keep track of consumer data, most customer support teams use chat conversation tags. However, most support teams are tagging issues manually, which leads to a plethora of problems.

Report 83