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Improving your LLMs with RLHF on Amazon SageMaker

AWS Machine Learning

Reinforcement Learning from Human Feedback (RLHF) is recognized as the industry standard technique for ensuring large language models (LLMs) produce content that is truthful, harmless, and helpful. Gone are the days when you need unnatural prompt engineering to get base models, such as GPT-3, to solve your tasks.

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25 Call Center Leaders Share the Most Effective Ways to Boost Contact Center Efficiency

Callminer

They don’t do anything else except maybe monitor a few calls and give some feedback. Bill Dettering is the CEO and Founder of Zingtree , a SaaS solution for building interactive decision trees and agent scripts for contact centers (and many other industries). Interactive agent scripts from Zingtree solve this problem.

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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning

The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.

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Your Customers Are Talking, But Are You Listening?

Call Journey

Until recently, the industry standard for reviewing calls coming through a contact center oscillated below 2%. The answer is simple: businesses are investing in capturing and analyzing customer feedback. Agent Script Adherence. Temkin quote. Agent Sentiment and Emotion. Every spoken word transcribed and searchable.

Scripts 45
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Gemma is now available in Amazon SageMaker JumpStart 

AWS Machine Learning

. * The `if __name__ == "__main__"` block checks if the script is being run directly or imported. To run the script, you can use the following command: ``` python hello.py ``` * The output will be printed in the console: ``` Hello, world! ) # For the other hyperparameters, see the GitHub notebook attached in this blog.

Benchmark 111
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What is Call Center Compliance?

NobelBiz

Standards Call Centers Must Follow In addition to specific regulations, call centers should adhere to industry standards and best practices, here are 10 of the most important standards any call center should follow: 1. Tools such as Unified Agent Desktop facilitate comprehensive monitoring of call center activities.

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Operationalize LLM Evaluation at Scale using Amazon SageMaker Clarify and MLOps services

AWS Machine Learning

For example, the EU AI Act is tasked providing information on which datasets are used for training, what compute power is required to run the model, report model results against public/industry-standard benchmarks and share results of internal and external testing. Model fine-tuners want to solve specific tasks (e.g.