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LLM continuous self-instruct fine-tuning framework powered by a compound AI system on Amazon SageMaker

AWS Machine Learning

Continuous fine-tuning also enables models to integrate human feedback, address errors, and tailor to real-world applications. When you have user feedback to the model responses, you can also use reinforcement learning from human feedback (RLHF) to guide the LLMs response by rewarding the outputs that align with human preferences.

Benchmark 107
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Pixtral-12B-2409 is now available on Amazon Bedrock Marketplace

AWS Machine Learning

Overview of Pixtral 12B Pixtral 12B, Mistrals inaugural VLM, delivers robust performance across a range of benchmarks, surpassing other open models and rivaling larger counterparts, according to Mistrals evaluation. Performance metrics and benchmarks Pixtral 12B is trained to understand both natural images and documents, achieving 52.5%

Benchmark 117
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3 Tools to Measure Authentic Customer Emotions in Real-Time

Beyond Philosophy

Let’s take a look at a few different ways you can get feedback on customer emotions. I went to a presentation about the results of our research concerning customer satisfaction with some of our key products and services. However, before we get into the types and specifics of the measurement tools, I have some advice.

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AWS and DXC collaborate to deliver customizable, near real-time voice-to-voice translation capabilities for Amazon Connect

AWS Machine Learning

Providing effective multilingual customer support in global businesses presents significant operational challenges. During that time, the customer and agent hear subtle audio feedbackcontact center background noiseat a very low volume (Audio Feedback enabled). The customers translated speech is then streamed to the agent.

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How to optimize your customer onboarding strategy: a six-point checklist.

ChurnZero

Customer feedback changes depending on the lens youre looking through (i.e. Is your onboarding process a well-oiled machine of timely tasks and thresholds, until a customer gets stuck with no clear steps for collecting or reviewing feedback? (because perception is reality) Let’s explore the details of each step.

Metrics 86
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Customer Experience ROI: How You Prove You Understand Customer Experience Strategy

Beyond Philosophy

There is a lack of focus on presenting the business case for your program. Recommendation #4: Get feedback from sources other than surveys. If you want to benchmark your organization’s performance in the new world of behavioral economics against other companies, take our short questionnaire.

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

AWS Machine Learning

The Amazon D&C team implemented the solution in a pilot for Amazon engineers and collected user feedback. In this post, we share how we analyzed the feedback data and identified limitations of accuracy and hallucinations RAG provided, and used the human evaluation score to train the model through reinforcement learning.