Amazon Lex is a carrier for making conversational interfaces the usages of voice and text. Powered with the aid of the identical conversational engine as Alexa. In this blog post, we are going to cover everything about Amazon Lex.
This post covers:
What is Amazon Lex?
- Amazon Lex is a service for making conversational interfaces into any application using text and voice.
- It provides high-level deep learning capabilities of automatic speech recognition for transform speech to text.
- It also enabled natural language understanding to recollect the intent of the text, to enable us to create applications with highly attractive user experiences and lifelike conversational communication.
- With Amazon Lex, you can rapidly and smoothly build natural language conversational bots (chatbots).
Do Check : Our Blog On Amazon Comprehend.
How Amazon Lex Works?
- Amazon Lex works on the same technology as Alexa.
- It combined with AWS Lambda which we are able to use without difficulty trigger features for the execution of our back-end business logic for information retrieval and updates.
- Once built, our bot can be used directly to chat platforms, IoT devices, and mobile clients.
- It provides a secure, scalable, easy-to-use, end-to-end solution to build, monitor, and publish our bots.
Do Checkout : Our Blog Post on Deep Learning On AWS, For More Information.
Read : Our Blog Post On Amazon SageMaker.
Key Features Of Amazon Lex
- Amazon Lex offers fully automatic speech recognition and natural language understanding technologies to generate a Speech-Language Understanding system.
- Its bots provide the capacity for multi-turn conversations.
- it helps context control natively, so you can manage the context immediately without the want for custom code.
- It provides two types of prompts:
- confirmation prompts
- error-handling prompts
- It natively enables integration with AWS Lambda for fact retrieval, updates, and commercial enterprise logic execution.
- It allows you to simply publish your bot to chat services precisely from the Amazon Lex console, eliminating multi-platform development efforts.
- It supports an 8 kHz Telephony Audio.
Also Read: Our Blog Post On Amazon Rekognition.
Use Cases Of Amazon Lex
1) Call Center Voice Assistants and Chatbots
With Amazon Lex chatbot in a call center, callers can do tasks such as requesting a balance on an account, password change, or arrange an appointment, without the need to speak to an agent.
These chatbots work on automatic speech recognition and natural language understanding to examine a caller’s intent, maintain context, and fluidly control the conversation.
Do Checkout: Our Blog Post On “AWS Certified Machine Learning Specialty“.
2) QnA Bots and Informational Bots
With Amazon Lex creation of chatbots for the everyday user, requests are very simple such as accessing the game scores, latest news updates, or weather updates. After you create your Lex bot, you can use them on chat services, mobile devices, and IoT devices, with support for rich message formatting.
Note : Check Our Blog Post On Data Engineering With AWS Machine Learning.
3) Application Bots
We can easily integrate a voice or text chat interface to create bots on smartphone devices that can help customers with many daily tasks, such as accessing their bank account, ordering food, booking tickets, or calling a cab. It easily connects with Amazon Cognito so you can control user management, authentication, and sync across all devices.
Also Read : Our Previous Blog On AWS Trusted Advisor
4) Enterprise Productivity chatbots
We can use Lex to develop enterprise productive chatbots that establish common work activities and improve Enterprise efficiencies. For example, in marketing performance from HubSpot, employees can check sales data from Salesforce, and customer service status from Zendesk, directly from their chatbots within minutes.
Amazon Lex Pricing
With Amazon Lex, you pay most effectively for what you use. It is charged you based on the number of voice or text requests processed by your bot. at $0.00075 per text request and $0.004 per voice request.
you can attempt Amazon Lex without spending a dime. From the date you get began with it, you can proceed up to 10,000 text requests and five,000 speech requests in step with a month totally free for the primary year.
FAQs
Q: How do I build a bot in Amazon Lex?
Answer: To build a bot, you will first decide the tasks performed by the bot. These Tasks are the intents that require to be fulfilled by the bot. For every intent, you’ll add sample utterances and slots. Slots are input data need to fulfill the intent. Utterances are phrases that invoke the intent. Lastly, you’ll provide the business common sense important to execute the action. An Amazon Lex bot can be created each through Console and REST APIs.
Q: Is Amazon Lex a managed service?
Answer: Yes, It is a fully managed service so you don’t have to maintenance of code or manage the scaling of resources. Your communication schema and language models are automatically backed up. Amazon also provides full versioning capability for easy rollback. Its architecture does not need storage or backups of end-user data.
Q. When do I use Amazon Lex vs. Amazon Polly?
Answer: Lex is a service for creating conversational interfaces using voice and text. Amazon Polly converts inputs text to speech.
Q. How can I create Amazon Lex bots for smartphones?
Answer: It provides SDKs for iOS and Android. You can create bots for your mobile use cases with these SDKs. User authentication can be enabled via Amazon Cognito.
I hope this blog helps you in clearing your doubts regarding Amazon Lex.
Related References
- AWS Certificate Manager: Overview, Features, and How it Works?
- AWS Database Services – Amazon RDS, Aurora, DynamoDB, ElastiCache
- Multi-Account Management Using AWS Organizations
- AWS Certified Solutions Architect: Roles & Responsibilities
- Amazon Kinesis Overview, Features, And Benefits
- AWS Route 53 Introduction
- AWS Certified Machine Learning Specialty: All You Need To Know
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