APTO to speak at online seminar 'Successful Methods for LLM Data Development: Implementation Infrastructure Supporting Safety Design to Physical AI' on Thursday, April 23, 2026!
APTO and Highreso will co-host an online seminar 'Successful Methods for LLM Data Development' on April 23, 2026. This seminar will cover LLM safety design to Physical AI applications, data development, and GPU environment design that balances cost optimization, emphasizing the importance of data quality in AI development.
📋 Article Processing Timeline
- 📰 Published: April 1, 2026 at 19:00
- 🔍 Collected: April 1, 2026 at 10:15
- 🤖 AI Analyzed: April 22, 2026 at 03:06 (496h 50m after Collected)
This is an online seminar co-hosted by Highreso Co., Ltd., which provides the domestic cloud service "GPUSOROBAN" utilizing cutting-edge GPUs, and APTO Co., Ltd., which operates an AI development platform business focused on data and an AI consulting business.
In the early stages of generative AI/LLM utilization and Physical AI development, training data significantly impacts accuracy.
This seminar will organize topics from the premise of social implementation, which is LLM safety design, to the concept of high-quality data that determines performance, and further the possibilities of expanding to Physical AI.
Furthermore, it will explain the essential requirements for the "computing infrastructure" necessary to put these design philosophies into practice.
It will share design perspectives for a GPU environment that balances development speed and cost optimization.
Pre-registration (free participation, limited capacity) is required to attend this seminar.
Please register from the site below.
Event details and participation registration here
*You will be redirected to the event site.
Webinar Overview
Date and Time: Thursday, April 23, 2026, 14:00-15:00
Viewing Method: Online (using Zoom)
Capacity: 1000 people
Participation Fee: Free
Participation Conditions:
Participation is limited to those who have registered in advance.
Participation from competitor companies is declined.
If multiple people plan to attend, please register individually.
How to participate:
1. Fill out the application form with the required information and send it.
2. You will receive a registration completion notification and a participation URL by email.
3. Please enter the room at the scheduled date and time.
*You can enter the room 15 minutes before the start time.
*Pre-registration is required for viewing. Please register on the event site.
Event details and participation registration here
*You will be redirected to the event site.
APTO Co., Ltd.
We provide AI development support services focusing on "data," which has the greatest impact on accuracy in all AI development. We offer the data collection and annotation platform "harBest" utilizing crowd workers, "harBest Dataset" to speed up data preparation in the initial stages, and "harBest Expert" to improve data accuracy by utilizing expert knowledge. We support many domestic and international companies by assisting AI development that is stalled due to data challenges.
In the early stages of generative AI/LLM utilization and Physical AI development, training data significantly impacts accuracy.
This seminar will organize topics from the premise of social implementation, which is LLM safety design, to the concept of high-quality data that determines performance, and further the possibilities of expanding to Physical AI.
Furthermore, it will explain the essential requirements for the "computing infrastructure" necessary to put these design philosophies into practice.
It will share design perspectives for a GPU environment that balances development speed and cost optimization.
Pre-registration (free participation, limited capacity) is required to attend this seminar.
Please register from the site below.
Event details and participation registration here
*You will be redirected to the event site.
Webinar Overview
Date and Time: Thursday, April 23, 2026, 14:00-15:00
Viewing Method: Online (using Zoom)
Capacity: 1000 people
Participation Fee: Free
Participation Conditions:
Participation is limited to those who have registered in advance.
Participation from competitor companies is declined.
If multiple people plan to attend, please register individually.
How to participate:
1. Fill out the application form with the required information and send it.
2. You will receive a registration completion notification and a participation URL by email.
3. Please enter the room at the scheduled date and time.
*You can enter the room 15 minutes before the start time.
*Pre-registration is required for viewing. Please register on the event site.
Event details and participation registration here
*You will be redirected to the event site.
APTO Co., Ltd.
We provide AI development support services focusing on "data," which has the greatest impact on accuracy in all AI development. We offer the data collection and annotation platform "harBest" utilizing crowd workers, "harBest Dataset" to speed up data preparation in the initial stages, and "harBest Expert" to improve data accuracy by utilizing expert knowledge. We support many domestic and international companies by assisting AI development that is stalled due to data challenges.