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0 to 1 AI Product Bootcamp Day 3: - [In-Person]๐Ÿค–๐Ÿ“š๐Ÿ‘ฉโ€๐Ÿ’ป๐Ÿง‘โ€๐Ÿ’ป๐Ÿ‡ฐ๐Ÿ‡ท

David Fu์˜ ์‚ฌ์ง„
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David F.
0 to 1 AI Product Bootcamp Day 3: - [In-Person]๐Ÿค–๐Ÿ“š๐Ÿ‘ฉโ€๐Ÿ’ป๐Ÿง‘โ€๐Ÿ’ป๐Ÿ‡ฐ๐Ÿ‡ท

์„ธ๋ถ€ ์ •๋ณด

This is a bootcamp session for beginners/learners.๐Ÿค–๐Ÿ“š๐Ÿค“
Bring your own laptop๐Ÿ’ป
Day 3: AI Integration and Product Enhancement (3 hours)

  • โ€‹Introduction to AI Concepts: Explain basic AI concepts (machine learning, natural language processing, LLMs, multi-models, Audio models TTS etc.) in simple terms.
  • โ€‹AI Integration: Explore how to incorporate AI features into the product using pre-built AI models or APIs (e.g., openai API, claude or llama3 Grok).
  • โ€‹If we have time, we will learn to deploy our own vision LLM models.
  • โ€‹We will not just build things, we will deploy them over the cloud.
  • โ€‹Learn about docker and kubernetes. Practical usage in the products.
  • โ€‹Google authentication integration using Supabase (free)
  • โ€‹Workflow automation
  • โ€‹Product Refinement: Iterative process of testing, gathering feedback, and improving the product. towards building products)
  • โ€‹Introduction to No-Code/Low-Code Tools: Overview of available platforms (e.g., Webflow, n8n.io and nocodb) and their capabilities.
  • โ€‹Building a Basic Product Structure: Using chatgpt to build a basic website UI.
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AI/ML DeepLearning Meetup in Seoul๐Ÿฅง๐Ÿค–๐Ÿš€๐Ÿ‡ฐ๐Ÿ‡ท
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