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Service development using generative AI supported by ATHLEE
At ATHLEE, we have been solving the shortage of engineers and development problems of companies with high-quality services while keeping costs down.
2024 was probably a year in which the way generative AI was used changed significantly.
We have also built various service developments using generative AI, but we would like to introduce what kind of development we have done and what kind of members we have provided.
Our company is highly regarded for its excellent group of engineers consisting of more than 1,000 development partners in 30 countries and its technology to manage the team with Japanese quality.
As a recent development example, we have achieved the official release of an AI assistant for enterprises, and a technical director with extensive experience in AI development has taken charge of management and quality control to achieve high-quality service development.
The service uses generative AI such as ChatGPT, and although there are few engineers with development experience using generative AI, which is an advanced technology, by using our service, it is possible to provide experienced engineers in a short period of time and at low cost.
■ Introduction of available members (partial list):
・Technical Director
・Project Manager
・Senior Front-end Engineer
・Senior Back-end Engineer
・Senior AI Engineer
・Senior QA Engineer
The above members can be provided as a team or individually.
■Available engineer skills:
・Development of AI applications for external or internal use using LLM on Langchain
・Development of AI functions that convert existing business knowledge into a knowledge graph and link it with LLM
・Development of improvements and replacements of existing system functions using AI
・Development of traditional AI functions that do not use LLM, such as classification, summarization, object recognition, translation, and recommendation systems
・Building an evaluation system for AI accuracy
・Building annotation tools
・Building a data pipeline and automatic reporting of AI analysis results of aggregated results
・Development of traditional web services
・Building CICD
・QA engineers creating test cases and conducting tests
・Promoting automated testing, etc., smoothly responding to the cycle from AI or web service development to release
We have been carrying out development in a team composed of the members listed above.
When used by a team, the development pipeline works efficiently in a two-week cycle
Function development → Testing → Deployment
The team has been able to release regular upgrades to production.
In addition, if we receive requests from this team,
We will implement a series of development pipelines efficiently, such as:
Integration into specifications
→ Front-end development
→ Integration with back-end development
→ QA, regression testing of the entire service
→ Production deployment
If you are interested, please feel free to contact us and we will explain the details.
[We will solve your problems!]
– We want to resolve the shortage of engineers
– We have no one with experience in development using generative AI
– We don’t mind having engineers from overseas, but we want an experienced Japanese PM to take the lead
– We want to replace the system of an already operating service, but we don’t have the manpower
If you have such issues,
please contact us. We will explain in detail,
so we look forward to hearing from you.
We look forward to your continued support.
【Contact】inquiry@athlee.sg
【Our Company Info】 https://athlee.sg/
【development examples】 https://athlee.sg/case-development
Contact Form(https://athlee.sg/#contact)
TOPICS
Service development using generative AI supported by ATHLEE
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