Remove Benchmark Remove Exercises Remove Scripts
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Unlocking Innovation: AWS and Anthropic push the boundaries of generative AI together

AWS Machine Learning

Current evaluations from Anthropic suggest that the Claude 3 model family outperforms comparable models in math word problem solving (MATH) and multilingual math (MGSM) benchmarks, critical benchmarks used today for LLMs. Media organizations can generate image captions or video scripts automatically.

Benchmark 135
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Databricks DBRX is now available in Amazon SageMaker JumpStart

AWS Machine Learning

Regular exercise, particularly strength training, is crucial to achieving your goals. Before starting any new diet or exercise program, it's a good idea to consult with a healthcare professional or a registered dietitian. Code generation DBRX models demonstrate benchmarked strengths for coding tasks.

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Fine-tune large multimodal models using Amazon SageMaker

AWS Machine Learning

The prospect of fine-tuning open source multimodal models like LLaVA are highly appealing because of their cost effectiveness, scalability, and impressive performance on multimodal benchmarks. What proportion of people do not exercise at all weekly? It sets up a SageMaker training job to run the custom training script from LLaVA.

Scripts 112
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Why Active Listening is the Best Customer Service Skill

Fonolo

And, since phone calls are still the consumers’ preferred method of contacting customer service , exercising the skill of active listening will reap valuable returns for any organization. We can all relate to being on the phone with a call center agent who is clearly stuck on their call script, and doesn’t seem to care about your concerns.

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New technical deep dive course: Generative AI Foundations on AWS

AWS Machine Learning

This means breaking down theory, mathematics, and abstract concepts combined with hands-on exercises to gain functional intuition for practical application. We’ll cover fine-tuning your foundation models, evaluating recent techniques, and understanding how to run these with your scripts and models.

Scripts 82
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The Ultimate Guide to Call Center Training

Fonolo

To demonstrate the practical aspect of your customer profiles, write up role-play scripts for each profile and have staff act them out. This is an engaging exercise, and also demonstrates how different customer profiles could play out in real life. Act it out. Make the information universally available.

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5 Tips To Reduce Your Call Center’s Average Handle Time (AHT)

Global Response

While this varies some by industry, 6 minutes is a standard benchmark to aim for in the beginning. Use roleplay games and training exercises for scenarios that typically create lengthier calls, such as complex scenarios or angry customers. What scripts or key language or techniques were used in these calls? Check QA logs.