Remove Accountability Remove Demo Remove Examples Remove Scripts
article thumbnail

Build Streamlit apps in Amazon SageMaker Studio

AWS Machine Learning

With Streamlit , developing demo applications for your ML solution is easy. As an example, we use a custom Amazon Rekognition demo, which will annotate and label an uploaded image. This will serve as a starting point, and it can be generalized to demo any custom ML model. A user first accesses Studio through the browser.

Scripts 72
article thumbnail

Pushing the Limits of Conversational AI for CX Automation

TechSee

Chatbots are typically rule-based systems that follow predefined scripts to interact with customers. By their nature, chatbots are limited to their programming, and they may struggle with complex requests or conversations that deviate from their script. Is this the right Conversational AI provider for my CX needs?

Chatbots 124
Insiders

Sign Up for our Newsletter

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

Trending Sources

article thumbnail

Pushing the Limits of Conversational AI for CX Automation

TechSee

Chatbots are typically rule-based systems that follow predefined scripts to interact with customers. By their nature, chatbots are limited to their programming, and they may struggle with complex requests or conversations that deviate from their script. Is this the right Conversational AI provider for my CX needs?

Chatbots 109
article thumbnail

Everything You Need to Know About Auto Attendant

Hodusoft

In this blog post, we will discuss everything about auto attendants starting from what they are, how they work, the pros and cons of using auto attendants, how to set up an auto attendant, and how to include scripts. Pros of Using Auto Attendant Cons of Auto Attendant Auto Attendant Scripts – What to Record? Read on to know more.

article thumbnail

Personalization In Sales Leads To Increased Loyalty and Repeat Business

Integrity Solutions

Put another way, personalization is the opposite of operating from scripts and responding with cookie-cutter answers. There’s no value for them in listening to salesperson recite scripted features and benefits — they’ve already read all of that on the website or in other marketing materials.

article thumbnail

Read webpages and highlight content using Amazon Polly

AWS Machine Learning

As the following figure shows, the script PRTP Pre-Gen invokes Amazon Polly to generate the audio. If the extract config is omitted, the pre-gen script makes a sensible choice of text to extract from the body of the page. To provision the demo environment using CloudFormation, first download a copy of the CloudFormation template.

Scripts 69
article thumbnail

Accelerate Amazon SageMaker inference with C6i Intel-based Amazon EC2 instances

AWS Machine Learning

In the following example figure, we show INT8 inference performance in C6i for a BERT-base model. Use the supplied Python scripts for quantization. Run the provided Python test scripts to invoke the SageMaker endpoint for both INT8 and FP32 versions. The BERT-base was fine-tuned with SQuAD v1.1,