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Community Blog Indonesia Hackathon 2023: Igniting Innovation with Generative AI

Indonesia Hackathon 2023: Igniting Innovation with Generative AI

Igniting Innovation with Generative AI with Indonesia GenAI Hackathon 2023.

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The Indonesia Generative AI Hackathon event held in four cities across Indonesia was a resounding success. Readers can find details on the Hackathon webpage. A hundred teams signed up, and 50 opened accounts in Alibaba Cloud and used Alibaba Cloud resources. 27 completed the tasks and prepared reports. Each city has chosen three winners to go to the next round. Readers can find detailed rules, conditions, and other information via the Playbook Indonesia GenAI Hackathon webpage.

With Alibaba Cloud as the cloud solution provider, they offered three solutions to the participants:

  1. PAI-DSW+PAI-EAS+AnalyticDB (Code: Solution 1)
  2. PAI-EAS+AnalyticDB+ECS (Code: Solution 1B, 1C)
  3. Compute Nest (ECS+AnalyticDB) (Code: Solution 2)

Of these three solutions, Solution 2 (1B, 1C) was the most popular among the users. Participants found connecting their frontend solutions with ECS using API convenient and used PAI-EAS to run LLM (Llama 2) to save vectors/retrieval. At the same time, Analytic DB handled the data management. Additionally, the Langchain Library was employed for history preservation.

The Hackathon occurred in Jakarta, Bandung, Yogyakarta, and Makassar, with each city forming teams to participate. The breakdown of teams per city is listed below:

  • Jakarta (22 teams)
  • Bandung (7 teams)
  • Yogyakarta (6 teams)
  • Makassar (15 teams)

The event's partners were Indigo and Telkom Indonesia.

The theme of the Hackathon centered around:

  1. Customer Relationship Management (CRM)
  2. Legal Document Management
  3. Risk Management

In addition to the cloud resources, Alibaba Cloud provided onsite support to assist participants in creating related infrastructure and offered tutorials. These tutorials were subsequently published on the Alibaba Cloud Blog page. Links to those tutorials and materials are listed below:

1.  PAI-DSW+PAI-EAS+AnalyticDB (Code: Solution 1).

Related Tutorial:

2.  PAI-EAS+AnalyticDB+ECS (Code: Solution 1B, 1C).

Related Tutorials:

3.  Compute Nest (ECS+AnalyticDB) (Code: Solution 2).

Related Tutorial:

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