[Park lot]
[Introduction to Generative AI] Hands-on to develop a system that can use secure Generative AI via LINE or a browser! The second event has been decided! *Free participation
*Support from current engineers available *AWS account required *Parklot*
Press release: August 5, 2024
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[Introduction to Generative AI] Hands-on to develop a system that can use secure Generative AI via LINE or a browser! The second event has been decided! *Free participation
*Support from current engineers available *AWS account required *Importance of in-house operation of generated AI*
Generative AI super introductory hands-on
Click here to apply for the event
https://x-hack.connpass.com/event/325904/
The importance of in-house operation of generative AI
The business world is now undergoing major changes due to generative AI. The gap between companies that can effectively utilize this innovative technology and those that cannot will continue to widen.
In-house generative AI operations are not just a matter of following trends. It is a strategic initiative that will dramatically improve operational efficiency, unleash creativity, and create new business opportunities.
Issues in business use of generative AI
There are many issues with the business use of generative AI. Data security, privacy protection, and legal and ethical issues are the main concerns. Many companies are facing these challenges and are hesitant to introduce generative AI.
Achieving advanced security using AWS
What I would like to focus on is Amazon Bedrock.
is. By using this service, it is possible to safely utilize generated AI while meeting high security standards. Enterprise-grade security features such as data encryption, access controls, and audit logging ensure that sensitive information is protected.
Can be used in combination with multiple models
Additionally, Amazon Bedrock
provides the flexibility to select and combine multiple AI models, allowing for customization to meet each company’s specific needs and regulatory requirements. This allows legal and ethical concerns to be appropriately addressed.
Engineers support complex settings
In this hands-on event, we will introduce how to use LINE using Amazon Bedrock. Through the development of bots, you can learn practical methods to solve these problems. This is a valuable opportunity to directly experience how to use secure and effective generative AI with the generous support of active engineers.
You’ll learn how to maximize the potential of generative AI while minimizing risks, and gain insight into how it can be applied to your own business.
Your participation may be the key to changing the future of the company. At this event, let’s take the first step in utilizing generative AI that balances security and innovation.
What is Amazon Bedrock?
Amazon Bedrock is a generative AI service provided by AWS.
I would like to explain it in an easy-to-understand manner even for beginners.
*Access to diverse AI models*: Easily use multiple high-performance AI models from one service.
*Customizable*: You can customize AI models using your own data, so you can create AI specialized for specific tasks or fields.
*Secure and easy to manage*: Takes advantage of AWS security features and is suitable for enterprise use.
*Easy to use via API*: Easily incorporate AI functionality into your applications through programming.
In short, Bedrock allows you to incorporate advanced AI capabilities into your services without requiring specialized AI knowledge. Amazon Bedrock and LINE integration
By linking Amazon Bedrock and LINE, you can create ChatBots with advanced AI functions on LINE.
A simple explanation of how the cooperation works is as follows:
*Receive message from LINE*: User sends a message to ChatBot on LINE. *Forwarding via Webhook*: Use LINE’s webhook function to transfer messages to AWS Lambda
forward to a serverless function such as
* Contact Amazon Bedrock * : Lambda function uses Amazon Bedrock API to query the AI model.
*Generate answers*: Bedrock’s AI models generate answers to your questions. *Reply to LINE*: Reply the generated answer to the user using LINE’s Messaging API.
This collaboration will enable us to provide advanced AI functionality to users through the familiar interface of LINE.
Introducing the basic usage of Bedrock and the types of AI models provided Teacher
Shinsuke Matsuda, CEO of X-HACK Co., Ltd. and PARKLoT Co., Ltd., will serve as the representative director of X-HACK Co., Ltd. and PARKLoT Co., Ltd., who has experience in conducting over 200 hands-on seminars. He is the founder of an IT company and an active engineer. We plan, develop, and operate the web marketing SaaS tool “PARKLoT”. Event location
2nd floor, Daiichi Shimizu Building, 1-20-2 Jinnan, Shibuya-ku, Tokyo 150-0041 TIME SHARING Shibuya Jinnan 2A
4 minutes walk from Hachiko exit of Shibuya station on JR lines 11 minutes walk from Exit 7 of Meiji Jingumae Station on all Tokyo Metro lines ◆Access from Shibuya Station
1. Exit from the Hachiko Exit.
2. Cross the crosswalk (scramble intersection) in front of you to the “SHIBUYA TSUTAYA” side and go straight to the “SEIBU” side.
3. When you get to “Shibuya MODI”, turn left.
4.The “Rakuten” building will appear on your right-hand side, so turn right onto the road in front of you.
5. Pass two buildings on your left, and the third building you will see is Daiichi Shimizu Building.
*Please prepare an AWS account*
Some permission settings are required, so please prepare an AWS account.
*Instructor will provide detailed instructions on setting up LINE ChatBot* Configure basic ChatBot settings using LINE Developers.
Prepare for linking LINE and Amazon Bedrock.
*Learn about learning custom data*
Learn how to make AI learn from internal documents and FAQs. Experience the fine tuning of AI using custom data, which is a feature of Bedrock.
* Practice developing an automatic response system using AI! Engineers with extensive development experience will provide thorough support! * Create a ChatBot that can provide customized answers by linking Amazon Bedrock and LINE.
Learn how to integrate AI responses into your ChatBot while writing real code.
Through this event, participants will learn how to make practical use of generative AI.
You can get tools that will help you improve your business efficiency and manage your knowledge.
Learn how to leverage the powerful features of Amazon Bedrock to easily create your own AI assistant.
Apply here ↓
Apply for event