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İçerik Bas Alderding tarafından sağlanmıştır. Bölümler, grafikler ve podcast açıklamaları dahil tüm podcast içeriği doğrudan Bas Alderding veya podcast platform ortağı tarafından yüklenir ve sağlanır. Birinin telif hakkıyla korunan çalışmanızı izniniz olmadan kullandığını düşünüyorsanız burada https://tr.player.fm/legal özetlenen süreci takip edebilirsiniz.
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Practical use of AI Large Language Models and AI hackathon example

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Manage episode 449967401 series 3608690
İçerik Bas Alderding tarafından sağlanmıştır. Bölümler, grafikler ve podcast açıklamaları dahil tüm podcast içeriği doğrudan Bas Alderding veya podcast platform ortağı tarafından yüklenir ve sağlanır. Birinin telif hakkıyla korunan çalışmanızı izniniz olmadan kullandığını düşünüyorsanız burada https://tr.player.fm/legal özetlenen süreci takip edebilirsiniz.

In this episode, Bas Alderding and Koen Ter Velde, founders of AI development agency SevenLab, share insights into a recent AI project they built for a government organization in the Netherlands during a hackathon. The project aimed to streamline the regulatory compliance inspection process using AI, low-code, and no-code tools. They explain how they developed a prototype to automate data collection, transcription, and report generation, making inspections faster and more efficient.

Takeaways:

  • AI and transcription technologies can significantly reduce the time needed for regulatory compliance inspections.
  • Multi-step AI processes can convert unstructured spoken data into structured, actionable reports.
  • Combining low-code tools like Flutterflow and N8n with AI allows for rapid prototyping.
  • Leveraging AI-assisted coding tools, such as Cursor, speeds up the development process.
  • Using open source tools like Whisper for audio transcription allows for flexible and scalable integration.
  • AI-generated reports require manual validation to ensure compliance and accuracy.
  • Real-world applications of AI can make data-heavy processes more seamless and effective.

Chapters:
00:00 Introduction and Overview of the Hackathon Project
01:25 AI Training and Brainstorming for Government Inspection Use Case
03:00 Hackathon Setup and Challenges
04:30 The Inspection Process and Automating Compliance
06:00 Description of Solution: Recording, Transcription, and Summary
09:00 Switching from Flutterflow to Full Code for Flexibility
13:00 Demonstration of AI-assisted Coding Tool (Cursor)
17:45 Detailed Walkthrough of the Inspection App
22:00 Backend Flow with N8n for Data Processing
30:00 Creating Custom Letters and Reports Using AI
34:20 The Benefits of Low-Code Tools in AI Projects
37:00 Conclusion and Call to Action

Want to get in touch? Schedule a 15min intro through cal.sevenlab.nl/team/sevenlab/sevenlab-introduction

  continue reading

11 bölüm

Artwork
iconPaylaş
 
Manage episode 449967401 series 3608690
İçerik Bas Alderding tarafından sağlanmıştır. Bölümler, grafikler ve podcast açıklamaları dahil tüm podcast içeriği doğrudan Bas Alderding veya podcast platform ortağı tarafından yüklenir ve sağlanır. Birinin telif hakkıyla korunan çalışmanızı izniniz olmadan kullandığını düşünüyorsanız burada https://tr.player.fm/legal özetlenen süreci takip edebilirsiniz.

In this episode, Bas Alderding and Koen Ter Velde, founders of AI development agency SevenLab, share insights into a recent AI project they built for a government organization in the Netherlands during a hackathon. The project aimed to streamline the regulatory compliance inspection process using AI, low-code, and no-code tools. They explain how they developed a prototype to automate data collection, transcription, and report generation, making inspections faster and more efficient.

Takeaways:

  • AI and transcription technologies can significantly reduce the time needed for regulatory compliance inspections.
  • Multi-step AI processes can convert unstructured spoken data into structured, actionable reports.
  • Combining low-code tools like Flutterflow and N8n with AI allows for rapid prototyping.
  • Leveraging AI-assisted coding tools, such as Cursor, speeds up the development process.
  • Using open source tools like Whisper for audio transcription allows for flexible and scalable integration.
  • AI-generated reports require manual validation to ensure compliance and accuracy.
  • Real-world applications of AI can make data-heavy processes more seamless and effective.

Chapters:
00:00 Introduction and Overview of the Hackathon Project
01:25 AI Training and Brainstorming for Government Inspection Use Case
03:00 Hackathon Setup and Challenges
04:30 The Inspection Process and Automating Compliance
06:00 Description of Solution: Recording, Transcription, and Summary
09:00 Switching from Flutterflow to Full Code for Flexibility
13:00 Demonstration of AI-assisted Coding Tool (Cursor)
17:45 Detailed Walkthrough of the Inspection App
22:00 Backend Flow with N8n for Data Processing
30:00 Creating Custom Letters and Reports Using AI
34:20 The Benefits of Low-Code Tools in AI Projects
37:00 Conclusion and Call to Action

Want to get in touch? Schedule a 15min intro through cal.sevenlab.nl/team/sevenlab/sevenlab-introduction

  continue reading

11 bölüm

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